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    <description>recent bookmarks from Vaguery</description>
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	<rdf:li rdf:resource="https://arxiv.org/abs/1811.06912"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/1811.11888"/>
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	<rdf:li rdf:resource="https://arxiv.org/abs/1710.04372"/>
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	<rdf:li rdf:resource="http://crookedtimber.org/2017/07/21/why-coases-penguin-didnt-fly/"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/1508.05269"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/1607.07350"/>
	<rdf:li rdf:resource="https://status451.com/2017/01/20/days-of-rage/"/>
	<rdf:li rdf:resource="https://placesjournal.org/article/a-city-is-not-a-computer/"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/1701.04039"/>
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	<rdf:li rdf:resource="http://groupworksdeck.org/"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1201.4899"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1201.5477"/>
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    <title>All Futurists Are Archivists, All Archivists Are Futurists</title>
    <dc:date>2025-12-07T19:18:57+00:00</dc:date>
    <link>https://substack.com/home/post/p-179907743</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[I’ve been thinking about the overlap between futurism and archiving, and how the two are often framed as opposites: one looks forward, the other looks back.]]></description>
<dc:subject>archives history social-dynamics memory futurism African-diaspora to-write-about via:mymarkup community culture</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:59045256e1f1/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:memory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:futurism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:African-diaspora"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:community"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:culture"/>
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<item rdf:about="https://asteriskmag.com/issues/11/scapegoating-the-algorithm">
    <title>Scapegoating the Algorithm—Asterisk</title>
    <dc:date>2025-08-09T20:55:43+00:00</dc:date>
    <link>https://asteriskmag.com/issues/11/scapegoating-the-algorithm</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[But there are compelling reasons to be skeptical that social media is a leading cause of America’s epistemic challenges. The “wrecking ball” narrative exaggerates the novelty of these challenges, overstates social media’s responsibility for them, and overlooks deeper political and institutional problems that are reflected on social media, not created by it.

The platforms are not harmless. They may accelerate worrying trends, amplify fringe voices, and facilitate radicalization. However, the current balance of evidence suggests that the most consequential drivers of America’s large-scale epistemic challenges run much deeper than algorithms. 

]]></description>
<dc:subject>politics American-cultural-assumptions social-media propaganda polarization social-dynamics social-engineering</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:b01eadefe1b6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:propaganda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:polarization"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-engineering"/>
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<item rdf:about="https://sarahendren.substack.com/p/four-words-for-the-art-you-love-part?r=8nxo&amp;s=r">
    <title>four words for the art you love, part 2 - by Sara Hendren</title>
    <dc:date>2022-05-20T16:42:35+00:00</dc:date>
    <link>https://sarahendren.substack.com/p/four-words-for-the-art-you-love-part?r=8nxo&amp;s=r</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In the same spirit of kids giving haircuts, this project is deployed as a what if question—it’s meant to suggest a possible future (again, that’s the strong principle of probity) while also defamiliarizing the status quo. This project could, yes, be an earnest initiative from your local gardening advocates, or a top-down project from your region’s city planners. But rolling out an idea like this as a bureaucratic thing—an initiative—automatically invites skepticism, pushback, and limited debate only among people who already care about the issue, whether for or against. As a social practice art project, this work has a wily joyousness about it: a form of culture that is both useful and expressive at once, and one that gets into the public eye as a prototype to think differently about the norms holding up the way things are. Lots of HOAs would get in a snit about some rogue gardener bucking convention. But an artist might galvanize a community with this lucid reframing of the world around you: an invitation to turn extant green space, now a site of useless, endless mowing, into raucous and beautiful front-lawn food.

]]></description>
<dc:subject>aesthetics art-criticism rather-interesting social-dynamics contemporary-art activism cultural-norms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d7a55dbd77cd/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:contemporary-art"/>
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<item rdf:about="https://understandingsociety.blogspot.com/2021/05/five-easy-pieces-for-social-sciences.html">
    <title>Understanding Society: Five easy pieces (for the social sciences)</title>
    <dc:date>2021-09-05T11:28:51+00:00</dc:date>
    <link>https://understandingsociety.blogspot.com/2021/05/five-easy-pieces-for-social-sciences.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[1. What is involved in "explaining" a social event or circumstance?

We explain a social event when we show how it arose as a result of the actions and interactions of multiple social actors, engaged within a specified social, economic, political, and natural environment, to accomplish their varied and heterogeneous purposes. Sometimes the thrust of the explanation derives from discovering the surprising motives the actors had; sometimes it derives from uncovering the logic of unintended consequences that developed through their interactions; and sometimes it derives from uncovering the features of the institutional and natural environment that shaped the choices the actors made.
]]></description>
<dc:subject>sociology explanation epistemology social-dynamics history philosophy rather-interesting cultural-dynamics contingency</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e3251c596d85/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy"/>
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<item rdf:about="https://arxiv.org/abs/2009.06489">
    <title>[2009.06489] The Hardware Lottery</title>
    <dc:date>2020-10-15T10:34:27+00:00</dc:date>
    <link>https://arxiv.org/abs/2009.06489</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Hardware, systems and algorithms research communities have historically had different incentive structures and fluctuating motivation to engage with each other explicitly. This historical treatment is odd given that hardware and software have frequently determined which research ideas succeed (and fail). This essay introduces the term hardware lottery to describe when a research idea wins because it is suited to the available software and hardware and not because the idea is superior to alternative research directions. Examples from early computer science history illustrate how hardware lotteries can delay research progress by casting successful ideas as failures. These lessons are particularly salient given the advent of domain specialized hardware which make it increasingly costly to stray off of the beaten path of research ideas. This essay posits that the gains from progress in computing are likely to become even more uneven, with certain research directions moving into the fast-lane while progress on others is further obstructed.
]]></description>
<dc:subject>history-of-science engineering-philosophy rather-interesting machine-learning coevolution social-dynamics history-of-computing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:9473774c1e68/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history-of-science"/>
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<item rdf:about="https://arxiv.org/abs/1806.02711">
    <title>[1806.02711] POTs: Protective Optimization Technologies</title>
    <dc:date>2020-10-13T20:46:49+00:00</dc:date>
    <link>https://arxiv.org/abs/1806.02711</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a narrow definition and assuming the service providers can be trusted to deploy countermeasures. Not surprisingly, these decisions limit fairness frameworks' ability to capture a variety of harms caused by systems. 
We characterize fairness limitations using concepts from requirements engineering and from social sciences. We show that the focus on algorithms' inputs and outputs misses harms that arise from systems interacting with the world; that the focus on bias and discrimination omits broader harms on populations and their environments; and that relying on service providers excludes scenarios where they are not cooperative or intentionally adversarial. 
We propose Protective Optimization Technologies (POTs). POTs provide means for affected parties to address the negative impacts of systems in the environment, expanding avenues for political contestation. POTs intervene from outside the system, do not require service providers to cooperate, and can serve to correct, shift, or expose harms that systems impose on populations and their environments. We illustrate the potential and limitations of POTs in two case studies: countering road congestion caused by traffic-beating applications, and recalibrating credit scoring for loan applicants.
]]></description>
<dc:subject>fairness algorithms coevolution-of-technocracy rather-interesting social-dynamics to-write-about consider:hey-maybe-don't-do-that-thing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:41240cd935db/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:hey-maybe-don't-do-that-thing"/>
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</item>
<item rdf:about="https://arxiv.org/abs/1608.03656">
    <title>[1608.03656] Higher contagion and weaker ties mean anger spreads faster than joy in social media</title>
    <dc:date>2020-06-14T12:43:57+00:00</dc:date>
    <link>https://arxiv.org/abs/1608.03656</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Increasing evidence suggests that, similar to face-to-face communications, human emotions also spread in online social media. However, the mechanisms underlying this emotional contagion, for example, whether different feelings spread in unlikely ways or how the spread of emotions relates to the social network, is rarely investigated. Indeed, because of high costs and spatio-temporal limitations, explorations of this topic are challenging using conventional questionnaires or controlled experiments. Because they are collection points for natural affective responses of massive individuals, online social media sites offer an ideal proxy for tackling this issue from the perspective of computational social science. In this paper, based on the analysis of millions of tweets in Weibo, surprisingly, we find that anger is more contagious than joy, indicating that it can spark more angry follow-up tweets. Moreover, regarding dissemination in social networks, anger travels easily along weaker ties than joy, meaning that it can infiltrate different communities and break free of local traps because strangers share such content more often. Through a simple diffusion model, we reveal that greater contagion and weaker ties function cooperatively to speed up anger's spread. The diffusion of real-world events with different dominant emotions provides further testimony to the findings. To the best of our knowledge, this is the first time that quantitative long-term evidence has been presented that reveals a difference in the mechanism by which joy and anger are disseminated. Our findings shed light on both personal anger management in human communications and on controlling collective outrage in cyberspace.
]]></description>
<dc:subject>social-media rather-interesting social-dynamics epidemiology-of-ideas to-simulate consider:agents</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:5e92d6ead112/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:epidemiology-of-ideas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-simulate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:agents"/>
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</item>
<item rdf:about="https://arxiv.org/abs/2001.07790">
    <title>[2001.07790] Investor Experiences and International Capital Flows</title>
    <dc:date>2020-01-26T13:45:09+00:00</dc:date>
    <link>https://arxiv.org/abs/2001.07790</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We propose a novel explanation for classic international macro puzzles regarding capital flows and portfolio investment, which builds on modern macro-finance models of experience-based belief formation. Individual experiences of past macroeconomic outcomes have been shown to exert a long-lasting influence on beliefs about future realizations, and to explain domestic stock-market investment. We argue that experience effects can explain the tendency of investors to hold an over proportional fraction of their equity wealth in domestic stocks (home bias), to invest in domestic equity markets in periods of domestic crises (retrenchment), and to withdraw capital from foreign equity markets in periods of foreign crises (fickleness). Experience-based learning generates additional implications regarding the strength of these puzzles in times of higher or lower economic activity and depending on the demographic composition of market participants. We test and confirm these predictions in the data.
]]></description>
<dc:subject>macroeconomics finance globalism rather-interesting social-dynamics investment-panics systems-thinking model economics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d4c3925b131d/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:finance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:globalism"/>
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<item rdf:about="https://psyarxiv.com/pq8m4/">
    <title>PsyArXiv Preprints | How do scientists update their beliefs? An investigation of N scientists engaged in replication research</title>
    <dc:date>2019-07-29T10:56:14+00:00</dc:date>
    <link>https://psyarxiv.com/pq8m4/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[How, if at all, do scientists adjust their beliefs based on observed evidence? Few studies have examined how beliefs change over the course of a study, from developing the protocol to collecting and analyzing original data. N scientists who were contributing to one or more of six multi-lab replication projects were asked to estimate their degree of belief in the original effect and to estimate the true effect size at three timepoints: before data collection, after learning their own results, and after learning the results of all of the other laboratories contributing replication studies. We examine how beliefs changed in response to data, whether scientists are disproportionately influenced by their own study results relative to those of other labs, and whether people optimally update their prior beliefs according to the observed evidence.

]]></description>
<dc:subject>science-studies social-dynamics sociology learning to-read a-bit-drafty</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7cd9bc0070fe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:science-studies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:a-bit-drafty"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://evolution-institute.org/on-the-origin-of-socialist-darwinism/">
    <title>On the Origin of Socialist Darwinism – The Evolution Institute</title>
    <dc:date>2019-07-13T11:44:21+00:00</dc:date>
    <link>https://evolution-institute.org/on-the-origin-of-socialist-darwinism/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Socialist Darwinism is the idea that natural selection promotes societies that cooperate as moral communities. This concept actually predates Social Darwinism, which later emphasized competition and individualism. Socialists throughout the 1860s-70s praised Darwin’s theory as promoting progressive social change.
As Eric Michael Johnson has documented in The Struggle for Coexistence (pdf here), the earliest consistent application of Darwin’s ideas for human society can be classified as Socialist Darwinism. For these authors, evolution demonstrated that the inequality maintained by institutions of God and State were not facts of nature but were imposed by power and privilege. It was therefore necessary for society to be redesigned from the bottom-up following scientific principles.
“I am a Socialist because I am a believer in Evolution,” wrote the women’s rights activist Annie Besant. She saw in Darwin’s work the clearest evidence yet that the status quo was not divinely ordained. Social species had evolved traits for cooperative behavior and humans, the most social of all animals, displayed the most elaborate moral instincts. Because evolution had shaped human physiology, behavior, and mind, Besant concluded, “it was not possible that Evolution should leave Sociology untouched.” Like Besant, many nineteenth-century socialist scholars, scientists, and activists quickly deployed Darwin to challenge the status quo.
]]></description>
<dc:subject>history-of-science rather-interesting social-dynamics cultural-dynamics to-read political-economy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3390a408b4e7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history-of-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:political-economy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://aeon.co/essays/can-you-stop-yourself-being-infected-with-other-peoples-desires">
    <title>Can you stop yourself being infected with other peoples’ desires? | Aeon Essays</title>
    <dc:date>2019-06-26T09:58:52+00:00</dc:date>
    <link>https://aeon.co/essays/can-you-stop-yourself-being-infected-with-other-peoples-desires</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Our desires change. The question is, what changes them? We acquire many of our desires by means of desire infection, and there is no real screening of these desires. But this means that many of our desires are, in some sense, inherited from the people around us.

A radical consequence of this argument concerns the way we should think about the self in light of these considerations. A widespread way of thinking about the self, going at least as far back as the 18th century and David Hume, is that it consists of the set of all our desires (besides some other mental states). But if this is so, then who we are (or the self) is a result, to a large extent, of random desire infection.

We know that we systematically ignore the possibility that our future self could be different from our present self. This is called the ‘end of history illusion’: we have a tendency to consider our self a finished product, but it is blatantly not. And this ‘end of history illusion’ makes it even more likely that we will try to give post-hoc rationalisations for any desires we might acquire by means of direct desire infection.

So the self changes. The question is, how much of this change is under our control? Some of it is: we have pretty good control over what new beliefs we acquire. And we might even have control over really wild, crazy desires. But we have no full control. Direct desire infection can have a real effect on who we are and whom we become – it is a phenomenon we should take very seriously.]]></description>
<dc:subject>philosophy social-dynamics culture rather-interesting sociology define-your-terms reflection</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:4bae9adc678d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:define-your-terms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:reflection"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1811.06912">
    <title>[1811.06912] Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction</title>
    <dc:date>2019-04-10T10:28:38+00:00</dc:date>
    <link>https://arxiv.org/abs/1811.06912</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[With the availability of vast amounts of user visitation history on location-based social networks (LBSN), the problem of Point-of-Interest (POI) prediction has been extensively studied. However, much of the research has been conducted solely on voluntary checkin datasets collected from social apps such as Foursquare or Yelp. While these data contain rich information about recreational activities (e.g., restaurants, nightlife, and entertainment), information about more prosaic aspects of people's lives is sparse. This not only limits our understanding of users' daily routines, but more importantly the modeling assumptions developed based on characteristics of recreation-based data may not be suitable for richer check-in data. In this work, we present an analysis of education "check-in" data using WiFi access logs collected at Purdue University. We propose a heterogeneous graph-based method to encode the correlations between users, POIs, and activities, and then jointly learn embeddings for the vertices. We evaluate our method compared to previous state-of-the-art POI prediction methods, and show that the assumptions made by previous methods significantly degrade performance on our data with dense(r) activity signals. We also show how our learned embeddings could be used to identify similar students (e.g., for friend suggestions).
]]></description>
<dc:subject>social-dynamics social-networks data-analysis rather-interesting statistics machine-learning clustering data-pageant visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:178a4234fb86/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:clustering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-pageant"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1811.11888">
    <title>[1811.11888] Reality Inspired Voter Models: A Mini-review</title>
    <dc:date>2019-01-03T12:39:33+00:00</dc:date>
    <link>https://arxiv.org/abs/1811.11888</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This mini-review presents extensions of the voter model that incorporate a number of plausible features of real decision-making processes of individuals. Although these generalizations are not calibrated by empirical data, the resulting dynamics are suggestive of real collective social behaviors.]]></description>
<dc:subject>collective-behavior voting social-networks social-dynamics abstraction simulation to-write-about review rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:5e6044a4fa75/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:voting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:abstraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:review"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.talyarkoni.org/blog/2018/10/02/no-its-not-the-incentives-its-you/">
    <title>No, it’s not The Incentives—it’s you – [citation needed]</title>
    <dc:date>2018-12-10T12:05:14+00:00</dc:date>
    <link>http://www.talyarkoni.org/blog/2018/10/02/no-its-not-the-incentives-its-you/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[A random bystander who happened to eavesdrop on a conversation between a group of scientists kvetching about The Incentives could be forgiven for thinking that maybe, just maybe, a bunch of very industrious people who generally pride themselves on their creativity, persistence, and intelligence could find some way to work around, or through, the problem. And I think they would be right. The fact that we collectively don’t see it as a colossal moral failing that we haven’t figured out a way to get our work done without having to routinely cut corners in the rush for fame and fortune is deeply troubling.

It’s also aggravating on an intellectual level, because the argument that we’re all being egregiously and continuously screwed over by The Incentives is just not that good. I think there are a lot of reasons why researchers should be very hesitant to invoke The Incentives as a justification for why any of us behave the way we do. I’ll give nine of them here, but I imagine there are probably others.

]]></description>
<dc:subject>academic-culture publishing social-dynamics social-norms conservatism attention-desert ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:4c3f5964c8be/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:academic-culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:publishing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:conservatism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:attention-desert"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.dshr.org/2018/01/it-isnt-about-technology.html?m=1">
    <title>DSHR's Blog: It Isn't About The Technology</title>
    <dc:date>2018-12-09T12:33:44+00:00</dc:date>
    <link>https://blog.dshr.org/2018/01/it-isnt-about-technology.html?m=1</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In other words, for searches that are profitable, Google has moved all the results it thinks are relevant off the first page and replaced them with results that people have paid to put there. Which is pretty much the definition of "evil" in the famous "don't be evil" slogan notoriously dropped in 2015. I'm pretty sure that no-one at executive level in Google thought that building a paid-search engine was a good idea, but the internal logic of the "slow AI" they built forced them into doing just that.
]]></description>
<dc:subject>federation decentralization social-dynamics corporatism activism engineering-design institutional-design political-economy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d491304da8d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:federation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:decentralization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:corporatism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:activism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:institutional-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:political-economy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://agileandchange.com/3-tools-from-sociocracy-to-use-right-away-plus-magic-phrases-535e908fd060?platform=hootsuite">
    <title>3 tools from sociocracy to use right away (plus magic phrases!)</title>
    <dc:date>2018-11-18T13:53:03+00:00</dc:date>
    <link>https://agileandchange.com/3-tools-from-sociocracy-to-use-right-away-plus-magic-phrases-535e908fd060?platform=hootsuite</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Of course I myself am ego-driven and I have a ton of good ideas! But I also know that it only takes one person in the circle engaging in cross-talk and the good effects of rounds are lost. What do I do with all my brilliant ideas? I write them on a piece of paper. When it is my turn, I will often look at my piece of paper and realize that, after a few minutes of listening to others, about 90% of my ideas have either been named or, on second thought, they don’t seem all that great or urgent anymore. Humbled, I am often grateful for having been forced to weed through what I say. And when people pass on their turn saying “All I wanted to say has been said” I feel the urge to get up and hug them in gratitude for not putting the group through endless repetitions. Which also answers the last reservation I hear very often: aren’t rounds lenghty? Maybe. But both inconsiderate decisions, repetitive statements and emotional “clean-up” after disregard of team members takes a lot of time too. Your choice!
]]></description>
<dc:subject>social-dynamics social-norms collaboration organizational-behavior teams rather-interesting to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7ce1b006892d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:organizational-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:teams"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://psyarxiv.com/kgxt3/">
    <title>PsyArXiv Preprints | Cognitive attraction and online misinformation</title>
    <dc:date>2018-11-01T09:41:08+00:00</dc:date>
    <link>https://psyarxiv.com/kgxt3/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The spread of online misinformation has gained mainstream attention in recent years. Here I approach this phenomenon from a cultural evolution and cognitive anthropology perspective, focusing on the idea that some cultural traits can be successful because their content taps into general cognitive preferences. I analyse 260 articles from media outlets included in two authoritative lists of websites known for publishing hoaxes and ‘fake news’, tracking the presence of negative content, threat-related information, presence of sexually related material, elements associated to disgust, minimally counterintuitive elements (and a particular category of them, i.e. violations of essentialist beliefs), and social information, intended as presence of salient social interactions (e.g. gossip, cheating, formation of alliances), and as news about celebrities. The analysis shows that these features are, to a different degree, present in most texts, and thus that general cognitive inclinations may contribute to explain the success of online misinformation. I conclude discussing how this account can elucidate questions such as whether and why misinformation online is thriving more than accurate information, or the role of ‘fake news’ as a weapon of political propaganda. Online misinformation, while being an umbrella term covering many different phenomena, can be characterised, in this perspective, not as low-quality information that spread because of the inefficiency of online communication, but as high-quality information that spread because of its efficiency. The difference is that ‘quality’ is not equated to truthfulness but to psychological appeal.

]]></description>
<dc:subject>social-dynamics critical-thinking rather-interesting anthropology to-read cultural-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:fd356074965a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:critical-thinking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:anthropology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.orderofthegooddeath.com/1918-forgotten-year-death">
    <title>1918: The Forgotten Year of Death | The Order of the Good Death</title>
    <dc:date>2018-10-03T11:34:51+00:00</dc:date>
    <link>http://www.orderofthegooddeath.com/1918-forgotten-year-death</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Wartime restrictions on communication had deadly effects, including in the United States. President Wilson’s Committee on Public Information and the Sedition Act passed by Congress both limited writing or publishing anything negative about the country. Federally-issued posters asked the public to “report the man who spreads pessimistic stories.” John M. Barry, author of The Great Influenza: The Story of the Deadliest Pandemic in History, writes in an article for Smithsonian Magazine about a particularly tragic consequence of this militant protection of morale. In Philadelphia, doctors pushed for the Liberty Loan parade on September 28 to be canceled, as they were concerned the concentration of people would spur the disease. “They convinced reporters to write stories about the danger,” Barry writes. “But editors refused to run them, and refused to print letters from doctors. The largest parade in Philadelphia’s history proceeded on schedule.” Two days later, the epidemic had indeed spread, and over just six weeks, more than 12,000 citizens of Philadelphia died.]]></description>
<dc:subject>epidemiology influenza propaganda social-dynamics politics public-health history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6a500eedc7e2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:epidemiology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:influenza"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:propaganda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:public-health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.academia.edu/35162136/Towards_an_anarchist_cybernetics_Stafford_Beer_self-organisation_and_radical_social_movements">
    <title>Towards an anarchist cybernetics: Stafford Beer, self-organisation and radical social movements | Thomas Swann - Academia.edu</title>
    <dc:date>2018-06-29T14:36:56+00:00</dc:date>
    <link>https://www.academia.edu/35162136/Towards_an_anarchist_cybernetics_Stafford_Beer_self-organisation_and_radical_social_movements</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Towards an anarchist cybernetics: Stafford Beer, self-organisation and radical social movements]]></description>
<dc:subject>to-read history-of-science social-dynamics cultural-norms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:dd71074cdb69/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history-of-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-norms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://thefrailestthing.com/2018/03/11/why-we-cant-have-humane-technology/">
    <title>Why We Can’t Have Humane Technology | L.M. Sacasas</title>
    <dc:date>2018-04-02T11:14:05+00:00</dc:date>
    <link>https://thefrailestthing.com/2018/03/11/why-we-cant-have-humane-technology/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The modern liberal order abets technology’s formative power to the degree that it disavows any strong claims about ethics and human flourishing. It is in the space of that disavowal that technology as an implicit anthropology and an implicit politics takes root and expands, framing and conditioning any subsequent efforts to subject it to ethical critique. Our understanding of the human is already conditioned by our technological milieu. Fundamental to this tacit anthropology, or account of the human, is the infinite malleability of human nature. Malleable humanity is a precondition to the unfettered expansion of technology. (This is why transhumanism is the proper eschatology of our technological order. Ultimately, humanity must adapt and conform, even if it means the loss of humanity as we have known it. As explicit ideology, this may still seem like a fringe position; as implicit practice, however, it is widely adopted.)

]]></description>
<dc:subject>technology philosophy-of-engineering engineering-criticism social-dynamics capitalism to-write-about the-collective-mangle</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a2ef9a1bf090/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-criticism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:capitalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-collective-mangle"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1710.04372">
    <title>[1710.04372] Wealth and Identity: The dynamics of dual segregation</title>
    <dc:date>2018-02-02T16:50:08+00:00</dc:date>
    <link>https://arxiv.org/abs/1710.04372</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We extend our model of wealth segregation to incorporate migration and study the tendencies towards dual segregation - segregation due to identity (migrants vs. residents) and segregation due to wealth. We find a sharp, non-linear transformation between segregated and mixed-wealth states as neighborhood wealth thresholds become less stringent, allowing agents to move into neighborhoods they cannot afford. The number of such moves required for the onset of this transformation varies inversely with the likelihood of agents willing to move into less wealthy neighborhoods. We also find that this sharp transformation from segregated to mixed wealth states is simultaneously accompanied by a corresponding non-linear transformation from a less identity-segregated to a highly identity-segregated state. We argue that the decrease in wealth segregation does not merely accompany, but in fact drives the increase in identity-based segregation. This implies that lowering wealth segregation necessarily exacerbates identity segregation and that therefore, this trade-off could to be an important consideration in designing urban policy. Additionally, we find that the time taken for the tolerance levels of residents to be breached is significantly lesser under rapid migration. This rapidity of breach of tolerance could potentially underpin the intensity of resident responses to sharp bursts of migration.
]]></description>
<dc:subject>social-dynamics agent-based simulation evolutionary-economics to-write-about consider:making-one</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:07a2f35773bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:making-one"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1508.06655">
    <title>[1508.06655] Tapping Into the Wells of Social Energy: A Case Study Based on Falls Identification</title>
    <dc:date>2018-01-26T12:59:04+00:00</dc:date>
    <link>https://arxiv.org/abs/1508.06655</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Are purely technological solutions the best answer we can get to the shortcomings our organizations are often experiencing today? The results we gathered in this work lead us to giving a negative answer to such question. Science and technology are powerful boosters, though when they are applied to the "local, static organization of an obsolete yesterday" they fail to translate in the solutions we need to our problems. Our stance here is that those boosters should be applied to novel, distributed, and dynamic models able to allow us to escape from the local minima our societies are currently locked in. One such model is simulated in this paper to demonstrate how it may be possible to tap into the vast basins of social energy of our human societies to realize ubiquitous computing sociotechnical services for the identification and timely response to falls.
]]></description>
<dc:subject>social-networks simulation artificial-life social-dynamics to-write-about to-simulate performance-measure exploration-and-exploitation metaphor philosophy-of-engineering</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:4779c187a536/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-simulate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:performance-measure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploration-and-exploitation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:metaphor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-engineering"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://faculty.washington.edu/kstarbi/Stewart_Starbird_Drawing_the_Lines_of_Contention-final.pdf">
    <title>[PDF] Drawing the Lines of Contention: Networked Frame Contests Within #BlackLivesMatter Discourse</title>
    <dc:date>2018-01-26T12:56:09+00:00</dc:date>
    <link>http://faculty.washington.edu/kstarbi/Stewart_Starbird_Drawing_the_Lines_of_Contention-final.pdf</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This research examines Twitter discourse related to #BlackLivesMatter and police-related shooting events in 2016 through a mixed-method, interpretative approach. We construct a “shared audience graph”, revealing structural and ideological disparities between two groups of participants (one on the political left, the other on the political right). We utilize an integrated networked gatekeeping and framing lens to examine how #BlackLivesMatter frames were produced—and how they were contested—by separate communities of supporters and critics. Among other empirical findings, this work demonstrates hashtags being used in diverse ways—e.g. to mark participation, assert individual identity, promote group identity, and support or challenge a frame. Considered from a networked gatekeeping perspective, we illustrate how hashtags can serve as channeling mechanisms, shaping trajectories of information flow. This analysis also reveals a right-leaning community of BlackLivesMatter critics to have a more well-defined group of crowdsourced elite who largely define their side’s counter-frame.]]></description>
<dc:subject>social-dynamics sociology social-networks Twitter propaganda bots to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8c31991d07b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:propaganda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:bots"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://electricliterature.com/when-bad-men-define-good-art-a54c736494e9">
    <title>When Bad Men Define Good Art – Electric Literature</title>
    <dc:date>2018-01-09T13:14:30+00:00</dc:date>
    <link>https://electricliterature.com/when-bad-men-define-good-art-a54c736494e9</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Once you realize how much the structures of literary power are bound up with the concept of literary quality, it becomes clear — if it wasn’t already — that our entire concept of “quality” is suspect. The Paris Review publishes twice as many men as women; are men twice as good? The New York Times described Stein as “regarded by many as a champion of new talent, including some women writers,” but that “some” is poison. One can’t really make the case that Stein was a champion of women writers generally; under his auspices, The Paris Review went from one-third women writers to… one-third women writers. So who broke through to be part of the illustrious third? This is not to say that the writers who did make their way into The Paris Review’s pages aren’t worthy, but we should illuminate the hand that picked them, and the other work it cast aside. In short, if you weren’t already paying attention to the ways that whiteness and maleness determine what we value in art, you should be now.
]]></description>
<dc:subject>cultural-norms cultural-assumptions rather-interesting literary-criticism social-dynamics ethics to-write-about what-gets-measured-gets-fudged</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:81c9b24dc74a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-assumptions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:literary-criticism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:what-gets-measured-gets-fudged"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1710.04562">
    <title>[1710.04562] Universal Scaling in Complex Substitutive Systems</title>
    <dc:date>2017-11-27T12:20:07+00:00</dc:date>
    <link>https://arxiv.org/abs/1710.04562</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Diffusion processes are central to human interactions. Despite extensive studies that span multiple disciplines, our knowledge is limited to spreading processes in non-substitutive systems. Yet, a considerable number of ideas, products and behaviors spread by substitution-to adopt a new one, agents must give up an existing one. Here, we find that, ranging from mobile handsets to automobiles to smart phone apps, early growth patterns in substitutive systems follow a power law with non-integer exponents, in sharp contrast to the exponential growth customary in spreading phenomena. Tracing 3.6 million individuals substituting for mobile handsets for over a decade, we uncover three generic ingredients governing substitutive processes, allowing us to develop a minimal substitution model, which not only predict analytically the observed growth patterns, but also collapse growth trajectories of constituents from rather diverse systems into a single universal curve. These results demonstrate that the dynamics of complex substitutive systems are governed by robust self-organizing principles that go beyond the particulars of individual systems, which implies that these results could guide the understanding and prediction of all spreading phenomena driven by substitutions, from electric cars to scientific paradigms, from renewable energy to new healthy habits.
]]></description>
<dc:subject>social-dynamics consumerism economics rather-interesting scaling power-laws to-read to-write-about consider:simulation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7bf719c06644/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consumerism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:scaling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:power-laws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:simulation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1202.4503">
    <title>[1202.4503] A Critical Look at Decentralized Personal Data Architectures</title>
    <dc:date>2017-11-12T12:24:21+00:00</dc:date>
    <link>https://arxiv.org/abs/1202.4503</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[While the Internet was conceived as a decentralized network, the most widely used web applications today tend toward centralization. Control increasingly rests with centralized service providers who, as a consequence, have also amassed unprecedented amounts of data about the behaviors and personalities of individuals.
Developers, regulators, and consumer advocates have looked to alternative decentralized architectures as the natural response to threats posed by these centralized services. The result has been a great variety of solutions that include personal data stores (PDS), infomediaries, Vendor Relationship Management (VRM) systems, and federated and distributed social networks. And yet, for all these efforts, decentralized personal data architectures have seen little adoption. 
This position paper attempts to account for these failures, challenging the accepted wisdom in the web community on the feasibility and desirability of these approaches. We start with a historical discussion of the development of various categories of decentralized personal data architectures. Then we survey the main ideas to illustrate the common themes among these efforts. We tease apart the design characteristics of these systems from the social values that they (are intended to) promote. We use this understanding to point out numerous drawbacks of the decentralization paradigm, some inherent and others incidental. We end with recommendations for designers of these systems for working towards goals that are achievable, but perhaps more limited in scope and ambition.]]></description>
<dc:subject>social-networks software user-experience social-dynamics decentralization good-intentions</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:793a37c6de4a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:user-experience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:decentralization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:good-intentions"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://crookedtimber.org/2017/07/21/why-coases-penguin-didnt-fly/">
    <title>Why Coase’s Penguin didn’t fly * — Crooked Timber</title>
    <dc:date>2017-08-04T13:04:02+00:00</dc:date>
    <link>http://crookedtimber.org/2017/07/21/why-coases-penguin-didnt-fly/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This is a very simple model, but it arguably represents many social relationships. One business can extract much better terms from another if it is the only customer (or supplier) for a service. Peasants reportedly did much better in relations with lords after the Black Death since there were fewer of them, and lords had less opportunity to play them off each other. Very often, breakdown values depend on exit options. The more exit options you have, the less likely you are to be badly hurt if coordination fails. And the more exit options you have, the better able you are to bargain, so that you end up at the outcome that you prefer, rather than the outcome that the other party prefers.

What this means, if you take it seriously, is that Coaseian coordination is a special case of bargaining. Broadly speaking, Coaseian processes will lead to efficient outcomes only under very specific circumstances – when the actors have symmetrical breakdown values, as in the first game, so that neither of them is able to prevail over the other. More simply put, the Coase transaction cost account of how efficient institutions emerge will only work when all actors are more or less equally powerful. Under these conditions, it is perfectly alright to assume as Coase (and Benkler by extension) do, that efficiency considerations rather than power relations will drive change. In contrast, where there are significant differences of power, actors will converge on the institutions that reflect the preferences of powerful actors, even if those institutions are not the most efficient possible.]]></description>
<dc:subject>economics markets(again) game-theory via:? theory-and-practice-sitting-in-a-tree social-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:9106615bba5d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:markets(again)"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:?"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theory-and-practice-sitting-in-a-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1508.05269">
    <title>[1508.05269] Modeling Radicalization Phenomena in Heterogeneous Populations</title>
    <dc:date>2017-02-26T14:23:58+00:00</dc:date>
    <link>https://arxiv.org/abs/1508.05269</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The phenomenon of radicalization is investigated within a mixed population composed of core and sensitive subpopulations. The latest includes first to third generation immigrants. Respective ways of life may be partially incompatible. In case of a conflict core agents behave as inflexible about the issue. In contrast, sensitive agents can decide either to live peacefully adjusting their way of life to the core one, or to oppose it with eventually joining violent activities. The interplay dynamics between peaceful and opponent sensitive agents is driven by pairwise interactions. These interactions occur both within the sensitive population and by mixing with core agents. The update process is monitored using a Lotka-Volterra-like Ordinary Differential Equation. Given an initial tiny minority of opponents that coexist with both inflexible and peaceful agents, we investigate implications on the emergence of radicalization. Opponents try to turn peaceful agents to opponents driving radicalization. However, inflexible core agents may step in to bring back opponents to a peaceful choice thus weakening the phenomenon. The required minimum individual core involvement to actually curb radicalization is calculated.It is found to be a function of both the majority or minority status of the sensitive subpopulation with respect to the core subpopulation and the degree of activeness of opponents. The results highlight the instrumental role core agents can have to hinder radicalization within the sensitive subpopulation. Some hints are outlined to favor novel public policies towards social integration.
]]></description>
<dc:subject>social-networks social-dynamics cultural-norms simulation diffyQs to-write-about consider:robustness consider:looking-to-see</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:550028d9fd18/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:diffyQs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:robustness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:looking-to-see"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1607.07350">
    <title>[1607.07350] Corruption and botnet defense: a mean field game approach</title>
    <dc:date>2017-02-25T12:31:44+00:00</dc:date>
    <link>https://arxiv.org/abs/1607.07350</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Recently developed toy models for the mean-field games of corruption and botnet defence in cyber-security with three or four states of agents are extended to a more general mean-field-game model with 2d states, $d\in \N$. 
In order to tackle new technical difficulties arising from a larger state-space we introduce new asymptotic regimes, namely small discount and small interaction asymptotics. Moreover, the link between stationary and time-dependent solutions is established rigorously leading to a performance of the turnpike theory in a mean-field-game setting.
]]></description>
<dc:subject>agent-based simulation collective-behavior social-networks social-dynamics to-simulate to-write-about really-there-ought-to-be-a-sim-here</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e72e6fe0bb42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-simulate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:really-there-ought-to-be-a-sim-here"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://status451.com/2017/01/20/days-of-rage/">
    <title>Days of Rage | Status 451</title>
    <dc:date>2017-02-17T11:08:05+00:00</dc:date>
    <link>https://status451.com/2017/01/20/days-of-rage/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Everything goes smoothly in Weather’s plan until the PFOC conference happens, which looks stunningly like what we’re seeing emerge in today’s Democratic party politics. The white leftist elites (Weather) are stunned to discover that the diverse radicals (black, American Indian, Puerto Rican) they’ve imagined leading actually have opinions of their own, and perfectly rational desires for their own power, and no desire to be ruled by Weather’s upper-crust radicals.

One of Burrough’s Weather interviewees notes that she was very upset and rattled to continually be called racist. This was before white leftists started to unpack their invisible knapsacks and bewail their whiteness as original sin. She couldn’t grasp it.

In the end, Weather was ignominously expelled from their own conference by a Communist who had been one of their former members. (Said Commie later got arrested himself by the Feds when he tried to start a bombing campaign of his own).

]]></description>
<dc:subject>history American-cultural-assumptions politics social-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e6ff9192506a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:American-cultural-assumptions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://placesjournal.org/article/a-city-is-not-a-computer/">
    <title>A City Is Not a Computer</title>
    <dc:date>2017-02-11T15:26:41+00:00</dc:date>
    <link>https://placesjournal.org/article/a-city-is-not-a-computer/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We must also recognize the shortcomings in models that presume the objectivity of urban data and conveniently delegate critical, often ethical decisions to the machine. We, humans, make urban information by various means: through sensory experience, through long-term exposure to a place, and, yes, by systematically filtering data. It’s essential to make space in our cities for those diverse methods of knowledge production. And we have to grapple with the political and ethical implications of our methods and models, embedded in all acts of planning and design. City-making is always, simultaneously, an enactment of city-knowing — which cannot be reduced to computation.]]></description>
<dc:subject>urban-planning technocracy learning modeling-is-not-mathematics social-dynamics theory-and-practice-sitting-in-a-tree to-write-about via:arthegall</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:aa7039db85f8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:urban-planning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:technocracy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:modeling-is-not-mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theory-and-practice-sitting-in-a-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:arthegall"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1701.04039">
    <title>[1701.04039] The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams</title>
    <dc:date>2017-01-24T12:06:39+00:00</dc:date>
    <link>https://arxiv.org/abs/1701.04039</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We study how collective memories are formed online. We do so by tracking entities that emerge in public discourse, that is, in online text streams such as social media and news streams, before they are incorporated into Wikipedia, which, we argue, can be viewed as an online place for collective memory. By tracking how entities emerge in public discourse, i.e., the temporal patterns between their first mention in online text streams and subsequent incorporation into collective memory, we gain insights into how the collective remembrance process happens online. Specifically, we analyze nearly 80,000 entities as they emerge in online text streams before they are incorporated into Wikipedia. The online text streams we use for our analysis comprise of social media and news streams, and span over 579 million documents in a timespan of 18 months. We discover two main emergence patterns: entities that emerge in a "bursty" fashion, i.e., that appear in public discourse without a precedent, blast into activity and transition into collective memory. Other entities display a "delayed" pattern, where they appear in public discourse, experience a period of inactivity, and then resurface before transitioning into our cultural collective memory.
]]></description>
<dc:subject>social-dynamics collective-behavior sociology rather-interesting to-understand</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:41e9b8d7d555/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-understand"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://points.datasociety.net/why-america-is-self-segregating-d881a39273ab#.q3w2zcr2e">
    <title>Why America is Self-Segregating</title>
    <dc:date>2017-01-06T12:30:32+00:00</dc:date>
    <link>https://points.datasociety.net/why-america-is-self-segregating-d881a39273ab#.q3w2zcr2e</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[If we want to develop a healthy democracy, we need a diverse and highly connected social fabric. This requires creating contexts in which the American public voluntarily struggles with the challenges of diversity to build bonds that will last a lifetime. We have been systematically undoing this, and the public has used new technological advances to make their lives easier by self-segregating. This has increased polarization, and we’re going to pay a heavy price for this going forward. Rather than focusing on what media enterprises can and should do, we need to focus instead on building new infrastructures for connection where people have a purpose for coming together across divisions. We need that social infrastructure just as much as we need bridges and roads.]]></description>
<dc:subject>diversity politics social-norms social-dynamics our-dissolution</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:fcb2ae879b5d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:diversity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:our-dissolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1606.03130">
    <title>[1606.03130] Coevolution in the model of social interactions: getting closer to real-world networks</title>
    <dc:date>2016-12-27T11:58:47+00:00</dc:date>
    <link>https://arxiv.org/abs/1606.03130</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We analyze Axelrod's model of social interactions on coevolving complex networks. We introduce four extensions with different mechanisms of edge rewiring. The models are intended to catch two kinds of interactions - preferential attachment, which can be observed in scientists or actors collaborations, and local rewiring, which can be observed in friendship formation in everyday relations. Numerical simulations show that proposed dynamics can lead to power-law distribution nodes' degree and high value of clustering coefficient, while still retaining the small-world effect in three models. All models are characterized by two phase transitions of a different nature. In case of local rewiring we obtain order-disorder discontinuous phase transition even in the thermodynamic limit, while in case of long-distance switching discontinuity disappears in the thermodynamic limit, leaving one continuous phase transition. In addition, we discover a new and universal characteristic of the second transition point - an abrupt increase of the clustering coefficient, due to formation of many small complete subgraphs inside the network.
]]></description>
<dc:subject>social-networks social-dynamics complexology agent-based rather-interesting to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:30ab3826335d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1603.07842">
    <title>[1603.07842] Collective decision making with a mix of majority and minority seekers</title>
    <dc:date>2016-07-24T11:51:35+00:00</dc:date>
    <link>http://arxiv.org/abs/1603.07842</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We study a model of a population making a binary decision based on information spreading within the population, which is fully connected or covering a square grid. We assume that a fraction of the population wants to make the choice of the majority, while the rest want to make the minority choice. This resembles opinion spreading with "contrarian" agents, but has the game theoretic aspect that agents try to optimize their own situation in ways that are incompatible with the common good. When this fraction is less than 1/2, the population can efficiently self-organize to a state where agents get what they want -- the majority (i.e. the majority seekers) have one opinion, the minority seekers have the other. If the fraction is larger than 1/2, there is a frustration in the population that dramatically changes the dynamics. In this region, the population converges, through some distinct phases, to a state of approximately equal-sized opinions. Just over the threshold the state of the population is furthest from the collectively optimal solution.
]]></description>
<dc:subject>evolutionary-economics agent-based social-norms social-dynamics to-write-about nudge-targets consider:feature-discovery</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:51e063342499/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:feature-discovery"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1506.03838">
    <title>[1506.03838] The one-dimensional Euclidean domain: Finitely many obstructions are not enough</title>
    <dc:date>2015-12-21T11:39:55+00:00</dc:date>
    <link>http://arxiv.org/abs/1506.03838</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We show that one-dimensional Euclidean preference profiles can not be characterized in terms of finitely many forbidden substructures. This result is in strong contrast to the case of single-peaked and single-crossing preference profiles, for which such finite characterizations have been derived in the literature.
]]></description>
<dc:subject>game-theory Arrow's-theorem preferences social-dynamics partial-orders rather-interesting special-cases nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a7745b4249b4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Arrow's-theorem"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:preferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:partial-orders"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:special-cases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1502.01375">
    <title>[1502.01375] Moving in a crowd: human perception as a multiscale process</title>
    <dc:date>2015-12-13T14:49:13+00:00</dc:date>
    <link>http://arxiv.org/abs/1502.01375</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The strategic behaviour of pedestrians is largely determined by how they perceive and react to neighbouring people. This issue is addressed in this paper by a model which combines, in a time and space-dependent way, discrete and continuous effects of pedestrian interactions. Numerical simulations and qualitative analysis suggest that human perception, and its impact on crowd dynamics, can be effectively modelled as a multiscale process based on a dual microscopic/macroscopic representation of groups of agents.
]]></description>
<dc:subject>artificial-life social-dynamics planning collective-intelligence collective-behavior swarms nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0b4ef78b9f2b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:planning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1505.02020">
    <title>[1505.02020] Influence of Luddism on innovation diffusion</title>
    <dc:date>2015-12-13T14:46:22+00:00</dc:date>
    <link>http://arxiv.org/abs/1505.02020</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We generalize the classical Bass model of innovation diffusion to include a new class of agents --- Luddites --- that oppose the spread of innovation. Our model also incorporates ignorants, susceptibles, and adopters. When an ignorant and a susceptible meet, the former is converted to a susceptible at a given rate, while a susceptible spontaneously adopts the innovation at a constant rate. In response to the \emph{rate} of adoption, an ignorant may become a Luddite and permanently reject the innovation. Instead of reaching complete adoption, the final state generally consists of a population of Luddites, ignorants, and adopters. The evolution of this system is investigated analytically and by stochastic simulations. We determine the stationary distribution of adopters, the time needed to reach the final state, and the influence of the network topology on the innovation spread. Our model exhibits an important dichotomy: when the rate of adoption is low, an innovation spreads slowly but widely; in contrast, when the adoption rate is high, the innovation spreads rapidly but the extent of the adoption is severely limited by Luddites.
]]></description>
<dc:subject>artificial-life evolutionary-economics simulation agent-based amusing innovation social-dynamics to-do</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7c666a9860a9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:amusing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:innovation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-do"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1410.8865">
    <title>[1410.8865] Ecology 2.0: Coexistence and Domination among Interacting Networks</title>
    <dc:date>2015-01-01T13:00:35+00:00</dc:date>
    <link>http://arxiv.org/abs/1410.8865</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.
]]></description>
<dc:subject>social-networks rather-interesting social-dynamics community-formation sociology inference philosophy-of-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f714402cad51/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:community-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lanl.arxiv.org/abs/1310.7134">
    <title>[1310.7134] Modeling Oligarchs' Campaign Donations and Ideological Preferences with Simulated Agent-Based Spatial Elections</title>
    <dc:date>2014-12-28T12:59:42+00:00</dc:date>
    <link>http://lanl.arxiv.org/abs/1310.7134</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In this paper, we investigate the interactions among oligarchs, political parties, and voters using an agent-based modeling approach. We introduce the OLIGO model, which is based on the spatial model of democracy, where voters have positions in a policy space and vote for the party that appears closest to them, and parties move in policy space to seek more votes. We extend the existing literature on agent-based models of political economy in the following manner: (1) by introducing a new class of agents- oligarchs - that represent leaders of firms in a common industry who lobby for beneficial subsidies through campaign donations; and (2) by investigating the effects of ideological preferences of the oligarchs on legislative action. We test hypotheses from the literature in political economics on the behavior of oligarchs and political parties as they interact, under conditions of imperfect information and bounded rationality. Our key results indicate that (1) oligarchs tend to donate less to political campaigns when the parties are more resistant to changing their policies, or when voters are more informed; and (2) if Oligarchs donate to parties based on a combination of ideological and profit motivations, Oligarchs will tend to donate at a lower equilibrium level, due to the influence of lost profits. We validate these outcomes via comparisons to real world polling data on changes in party support over time.
]]></description>
<dc:subject>agent-based social-dynamics politics NetLogo economics nudge-targets consider:feature-discovery</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:13de59441018/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:NetLogo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:feature-discovery"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1401.1686">
    <title>[1401.1686] Pedestrian Route Choice by Iterated Equilibrium Search</title>
    <dc:date>2014-11-29T20:25:58+00:00</dc:date>
    <link>http://arxiv.org/abs/1401.1686</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In vehicular traffic planning it is a long standing problem how to assign demand such on the available model of a road network that an equilibrium with regard to travel time or generalized costs is realized. For pedestrian traffic this question can be asked as well. However, as the infrastructure of pedestrian dynamics is not a network (a graph), but two-dimensional, there is in principle an infinitely large set of routes. As a consequence none of the iterating assignment methods developed for road traffic can be applied for pedestrians. In this contribution a method to overcome this problem is briefly summarized and applied with an example geometry which as a result is enhanced with routes with intermediate destination areas of certain shape. The enhanced geometry is used in some exemplary assignment calculations.
]]></description>
<dc:subject>crowds agent-based pedestrian-models modeling simulation rather-interesting social-dynamics nudge-targets artificial-life planning social-psychology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3d28153c2a58/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:crowds"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pedestrian-models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:planning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-psychology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1409.7254">
    <title>[1409.7254] Partisan Sharing: Facebook Evidence and Societal Consequences</title>
    <dc:date>2014-11-27T17:22:35+00:00</dc:date>
    <link>http://arxiv.org/abs/1409.7254</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The hypothesis of selective exposure assumes that people seek out information that supports their views and eschew information that conflicts with their beliefs, and that has negative consequences on our society. Few researchers have recently found counter evidence of selective exposure in social media: users are exposed to politically diverse articles. No work has looked at what happens after exposure, particularly how individuals react to such exposure, though. Users might well be exposed to diverse articles but share only the partisan ones. To test this, we study partisan sharing on Facebook: the tendency for users to predominantly share like-minded news articles and avoid conflicting ones. We verified four main hypotheses. That is, whether partisan sharing: 1) exists at all; 2) changes across individuals (e.g., depending on their interest in politics); 3) changes over time (e.g., around elections); and 4) changes depending on perceived importance of topics. We indeed find strong evidence for partisan sharing. To test whether it has any consequence in the real world, we built a web application for BBC viewers of a popular political program, resulting in a controlled experiment involving more than 70 individuals. Based on what they share and on survey data, we find that partisan sharing has negative consequences: distorted perception of reality. However, we do also find positive aspects of partisan sharing: it is associated with people who are more knowledgeable about politics and engage more with it as they are more likely to vote in the general elections.
]]></description>
<dc:subject>social-networks social-norms publics echo-chambers social-dynamics community-formation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d2c18e71011d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:publics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:echo-chambers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:community-formation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1411.0722">
    <title>[1411.0722] Visualizing the &quot;Heartbeat&quot; of a City with Tweets</title>
    <dc:date>2014-11-14T23:11:07+00:00</dc:date>
    <link>http://arxiv.org/abs/1411.0722</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Describing the dynamics of a city is a crucial step to both understanding the human activity in urban environments and to planning and designing cities accordingly. Here we describe the collective dynamics of New York City and surrounding areas as seen through the lens of Twitter usage. In particular, we observe and quantify the patterns that emerge naturally from the hourly activities in different areas of New York City, and discuss how they can be used to understand the urban areas. Using a dataset that includes more than 6 million geolocated Twitter messages we construct a movie of the geographic density of tweets. We observe the diurnal "heartbeat" of the NYC area. The largest scale dynamics are the waking and sleeping cycle and commuting from residential communities to office areas in Manhattan. Hourly dynamics reflect the interplay of commuting, work and leisure, including whether people are preoccupied with other activities or actively using Twitter. Differences between weekday and weekend dynamics point to changes in when people wake and sleep, and engage in social activities. We show that by measuring the average distances to the heart of the city one can quantify the weekly differences and the shift in behavior during weekends. We also identify locations and times of high Twitter activity that occur because of specific activities. These include early morning high levels of traffic as people arrive and wait at air transportation hubs, and on Sunday at the Meadowlands Sports Complex and Statue of Liberty. We analyze the role of particular individuals where they have large impacts on overall Twitter activity. Our analysis points to the opportunity to develop insight into both geographic social dynamics and attention through social media analysis.
]]></description>
<dc:subject>social-media collective-behavior Twitter time-series visualization GIS social-dynamics rather-interesting complexology urban-landscapes</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0c35f5038942/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:GIS"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:urban-landscapes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://biorxiv.org/content/early/2014/10/15/010371">
    <title>Social evolution and genetic interactions in the short and long term | bioRxiv</title>
    <dc:date>2014-11-07T12:51:25+00:00</dc:date>
    <link>http://biorxiv.org/content/early/2014/10/15/010371</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The evolution of social traits remains one of the most fascinating and feisty topics in evolutionary biology even after half a century of theoretical research. W. D. Hamilton shaped much of the field initially with his 1964 papers that laid out the foundation for understanding the effect of genetic relatedness on the evolution of social behavior. Early theoretical investigations revealed two critical assumptions required for Hamilton's rule to hold in dynamical models: weak selection and additive genetic interactions. However, only recently have analytical approaches from population genetics and evolutionary game theory developed sufficiently so that social evolution can be studied under the joint action of selection, mutation, and genetic drift. We review how these approaches suggest two timescales for evolution under weak mutation: (i) a short-term timescale where evolution occurs between a finite set of alleles, and (ii) a long-term timescale where a continuum of alleles are possible and populations evolve continuously from one monomorphic trait to another. We show how Hamilton's rule emerges from the short-term analysis under additivity and how non-additive genetic interactions can be accounted for more generally. This short-term approach reproduces, synthesizes, and generalizes many previous results including the one-third law from evolutionary game theory and risk dominance from economic game theory. Using the long-term approach, we illustrate how trait evolution can be described with a diffusion equation that is a stochastic analogue of the canonical equation of adaptive dynamics. Peaks in the stationary distribution of the diffusion capture classic notions of convergence stability from evolutionary game theory and generally depend on the additive genetic interactions inherent in Hamilton's rule. Surprisingly, the peaks of the long-term stationary distribution can predict the effects of simple kinds of non-additive interactions. Additionally, the peaks may capture the effect of both weak and strong selection in a manner analogous to classic diffusion approaches in population genetics. Together, the results from the short and long-term approaches suggest both how Hamilton's insight may be robust in unexpected ways and how current analytical approaches can expand our understanding of social evolution far beyond Hamilton's original work.

]]></description>
<dc:subject>theoretical-biology population-biology social-dynamics feisty nudge-targets consider:open-ended-exploration</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8def1f037da5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:population-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:feisty"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:open-ended-exploration"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1401.0480">
    <title>[1401.0480] Chaff from the Wheat : Characterization and Modeling of Deleted Questions on Stack Overflow</title>
    <dc:date>2014-09-15T21:05:41+00:00</dc:date>
    <link>http://arxiv.org/abs/1401.0480</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Stack Overflow is the most popular CQA for programmers on the web with 2.05M users, 5.1M questions and 9.4M answers. Stack Overflow has explicit, detailed guidelines on how to post questions and an ebullient moderation community. Despite these precise communications and safeguards, questions posted on Stack Overflow can be extremely off topic or very poor in quality. Such questions can be deleted from Stack Overflow at the discretion of experienced community members and moderators. We present the first study of deleted questions on Stack Overflow. We divide our study into two parts (i) Characterization of deleted questions over approx. 5 years (2008-2013) of data, (ii) Prediction of deletion at the time of question creation. Our characterization study reveals multiple insights on question deletion phenomena. We observe a significant increase in the number of deleted questions over time. We find that it takes substantial time to vote a question to be deleted but once voted, the community takes swift action. We also see that question authors delete their questions to salvage reputation points. We notice some instances of accidental deletion of good quality questions but such questions are voted back to be undeleted quickly. We discover a pyramidal structure of question quality on Stack Overflow and find that deleted questions lie at the bottom (lowest quality) of the pyramid. We also build a predictive model to detect the deletion of question at the creation time. We experiment with 47 features based on User Profile, Community Generated, Question Content and Syntactic style and report an accuracy of 66%. Our feature analysis reveals that all four categories of features are important for the prediction task. Our findings reveal important suggestions for content quality maintenance on community based question answering websites.
]]></description>
<dc:subject>natural-language-processing community social-dynamics statistics models feature-extraction nudge-targets rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0b6d993c7b4d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:community"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:feature-extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ribbonfarm.com/2014/09/03/how-to-fall-off-the-wagon/">
    <title>How to Fall Off the Wagon</title>
    <dc:date>2014-09-07T12:04:40+00:00</dc:date>
    <link>http://www.ribbonfarm.com/2014/09/03/how-to-fall-off-the-wagon/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[For me, the reformist leg between process and values, represented for example by six-sigma projects, feels like the most unnatural thing in the world. And one of the most revealing episodes of my life is expending a lot of political capital to avoid being put through lean six-sigma training. So here is a quick personality test. Your personality is defined by which of these self-improvement meta-behaviors feels the most unnatural, unpleasant and wrong to you.

If you hate process reform like six-sigma DMAIC, you’re a contrarian, your nemesis is the investigator
If you hate fervent ideological debates, you’re a hacker, your nemesis is the holy warrior
If you hate legal reasoning and careful precedent setting, you’re an operator and your nemesis is the legalist
If you hate breaking processes to get things done, you’re a holy warrior and your nemesis is the hacker
If you hate conflict over resources, you’re an investigator and your nemesis is the contrarian
If you hate making up designing new systems and processes, you’re a legalist and your nemesis is the operator
People for whom your most disliked behaviors come naturally represent nemesis types for you, because you will likely end up in conflict with them and lose if the conflict is on their home turf.

]]></description>
<dc:subject>social-norms social-dynamics reform glib-charts-I-like archetypic-behavior cultural-dynamics management the-same-as-some-old-boss quite-good</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8369fd76c752/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:reform"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:glib-charts-I-like"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:archetypic-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-same-as-some-old-boss"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:quite-good"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.joaap.org/issue9/notanalternative.htm">
    <title>Issue 9 - Counter Power As Common Power</title>
    <dc:date>2014-05-29T20:45:07+00:00</dc:date>
    <link>http://www.joaap.org/issue9/notanalternative.htm</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This need to organize actions in secret clusters runs counter to the logic of the open platform. In Occupy, however, this contradiction was never seriously addressed. As a result, throughout the duration of the movement, accusations have been fired at groups for organizing actions in the name of Occupy that were not agreed to by the General Assembly. In a sense, a mindset was operative in the movement that simultaneously encouraged people to act autonomously and condemned them when they succeeded for not having secured approval in advance.

]]></description>
<dc:subject>collaboration OWS social-norms social-dynamics social-engineering criticism interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:2d3bc1bc77e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:OWS"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:criticism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1208.6469">
    <title>[1208.6469] Periodic frequencies of the cycles in $2times2$ games: evidence from experimental economics</title>
    <dc:date>2014-05-02T11:15:26+00:00</dc:date>
    <link>http://arxiv.org/abs/1208.6469</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Evolutionary dynamics provides an iconic relationship --- the periodic frequency of a game is determined by the payoff matrix of the game. This paper reports the first experimental evidence to demonstrate this relationship. Evidence comes from two populations randomly-matched 2×2 games with 12 different payoff matrix parameters. The directions, frequencies and changes in the radius of the cycles are measured definitively. The main finding is that the observed periodic frequencies of the persistent cycles are significantly different in games with different parameters. Two replicator dynamics, standard and adjusted, are employed as predictors for the periodic frequency. Interestingly, both of the models could infer the difference of the observed frequencies well. The experimental frequencies linearly, positively and significantly relate to the theoretical frequencies, but the adjusted model performs slightly better.
]]></description>
<dc:subject>evolutionary-economics theory-and-practice-sitting-in-a-tree experiment interesting heuristics social-dynamics game-theory</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d7d8468a8063/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theory-and-practice-sitting-in-a-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:heuristics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1309.7099">
    <title>[1309.7099] On the Internal Dynamics of the Shanghai Ranking</title>
    <dc:date>2013-11-29T13:19:25+00:00</dc:date>
    <link>http://arxiv.org/abs/1309.7099</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The Academic Ranking of World Universities (ARWU) published by researchers at Shanghai Jiao Tong University has become a major source of information for university administrators, country officials, students and the public at large. Recent discoveries regarding its internal dynamics allow the inversion of published ARWU indicator scores to reconstruct raw scores for five hundred world class universities. This paper explores raw scores in the ARWU and in other contests to contrast the dynamics of rank-driven and score-driven tables, and to explain why the ARWU ranking is a score-driven procedure. We show that the ARWU indicators constitute sub-scales of a single factor accounting for research performance, and provide an account of the system of gains and non-linearities used by ARWU. The paper discusses the non-linearities selected by ARWU, concluding that they are designed to represent the regressive character of indicators measuring research performance. We propose that the utility and usability of the ARWU could be greatly improved by replacing the unwanted dynamical effects of the annual re-scaling based on raw scores of the best performers.
]]></description>
<dc:subject>benchmarking algorithms social-dynamics feature-extraction performance-measure</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:06bd0e8d577c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:benchmarking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:feature-extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:performance-measure"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.antipope.org/charlie/blog-static/2013/07/who-ordered-that.html">
    <title>Who ordered *that*? - Charlie's Diary</title>
    <dc:date>2013-08-13T13:11:43+00:00</dc:date>
    <link>http://www.antipope.org/charlie/blog-static/2013/07/who-ordered-that.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[I'm middle-aged and comfortable and have no great love for revolutions, even though I'd say that the imposition of a global police state deserves a place high on the list of complaints weighty enough to legitimize one. But revolutions almost invariably go bad. A few, like the Velvet revolution, turn out all right in the end; but many more provide opportunities for the vilest dregs of humanity to run amok. Only when the post-revolutionary society stabilizes and the convulsions subside do we get to see whether or not we're better off: and even if we are, that's scant comfort for the bereaved relatives of those who died in the process. As I said, I'm middle-aged, fat, and have health issues: don't look for me on the barricades. If it happens, I'll be over here wringing my hands and writing communiques calling for less smashing of skulls. Because? Fuck every cause that ends in murder and children crying.

]]></description>
<dc:subject>revolution social-dynamics police-states-near-and-far</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8aeb19488fde/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:revolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:police-states-near-and-far"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1307.2869">
    <title>[1307.2869] Estimating Workplace Contact Networks, Adjusting for Reporting Errors</title>
    <dc:date>2013-07-21T14:54:12+00:00</dc:date>
    <link>http://arxiv.org/abs/1307.2869</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Face-to-face social contacts are deemed to be avenues of transmission for diseases such as influenza, and estimating the network of contacts can improve our understanding of disease transmission and our ability to design effective interventions. Homes, schools, and workplaces are key contact settings for infectious disease transmission, but few studies have collected workplace contact data and estimated workplace contact networks. Many epidemic models rely on the standard "random mixing" assumption to approximate workplace contact behavior: people within mixing groups contact all others with equal probability. We use contact diaries, architectural distance measures, and institutional roles and structures to estimate social contact networks within one workplace, a Swiss research institute. Inconsistencies in contact reports shed light into the extent of unreported contacts, allowing us to quantify measurement error. We use a latent variable model to jointly estimate the true (unobserved) network of contacts as well as duration-specific reporting probabilities. Our contact network has valued edges, since respondents reported contact duration. We represent the network of contact durations with a proportional odds model, allowing us to estimate probabilities of different duration categories of contact based on individual and dyadic attributes. We find that contact probability decreases with distance, and research group membership, role, and shared projects are strongly predictive of contact patterns. Estimated reporting probabilities were high (93-100%) for contacts longer than 5 minutes, but only 53% for 0-5 minute contacts. The adjustment for reporting error in our model changes the estimate of the duration distribution from a model with no such adjustment, but does not change the estimates of covariate effects.
]]></description>
<dc:subject>social-networks experiment statistics social-dynamics epidemiology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0ad84630e592/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:epidemiology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1212.0952">
    <title>[1212.0952] Self-Organizing Flows in Social Networks</title>
    <dc:date>2013-06-30T12:37:04+00:00</dc:date>
    <link>http://arxiv.org/abs/1212.0952</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Social networks offer users new means of accessing information, essentially relying on "social filtering", i.e. propagation and filtering of information by social contacts. The sheer amount of data flowing in these networks, combined with the limited budget of attention of each user, makes it difficult to ensure that social filtering brings relevant content to the interested users. Our motivation in this paper is to measure to what extent self-organization of the social network results in efficient social filtering. To this end we introduce flow games, a simple abstraction that models network formation under selfish user dynamics, featuring user-specific interests and budget of attention. In the context of homogeneous user interests, we show that selfish dynamics converge to a stable network structure (namely a pure Nash equilibrium) with close-to-optimal information dissemination. We show in contrast, for the more realistic case of heterogeneous interests, that convergence, if it occurs, may lead to information dissemination that can be arbitrarily inefficient, as captured by an unbounded "price of anarchy". Nevertheless the situation differs when users' interests exhibit a particular structure, captured by a metric space with low doubling dimension. In that case, natural autonomous dynamics converge to a stable configuration. Moreover, users obtain all the information of interest to them in the corresponding dissemination, provided their budget of attention is logarithmic in the size of their interest set.
]]></description>
<dc:subject>social-networks self-organization social-dynamics madness-of-crowds interesting complexology game-theory</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:51844b61aaf0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:madness-of-crowds"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://m.theatlantic.com/entertainment/archive/2013/06/a-lessnoticed-moreinfluential-reason-writers-write-to-talk/276762/">
    <title>A Less-Noticed, More-Influential Reason Writers Write: To Talk - Atlantic Mobile</title>
    <dc:date>2013-06-24T10:49:57+00:00</dc:date>
    <link>http://m.theatlantic.com/entertainment/archive/2013/06/a-lessnoticed-moreinfluential-reason-writers-write-to-talk/276762/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The Internet hasn't changed that. What it has changed is the relative visibility and mixture of the different motivations. Letters used to be private—not so much, as it turns out, because the writers wanted privacy as because there simply was not the mechanism to make them more public. Now there is, and as a result, we are all reading everybody else's letters all the time. This is great for everyone who is writing in order to form connections or communities. It's not so great for those of us writing for fame and fortune, since all those letter writers tend to glut the market. But the fact remains that, for what most people want to use writing for most of the time, the Internet has undoubtedly transformed the world for the better.

]]></description>
<dc:subject>writing literature social-dynamics how-many-utiles-is-it-worth? economics nice</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:aefdb77915c7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:writing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:literature"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:how-many-utiles-is-it-worth?"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nice"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1304.1609">
    <title>[1304.1609] City versus wetland: Predicting urban growth in the Vecht area with a cellular automaton model</title>
    <dc:date>2013-05-25T11:24:37+00:00</dc:date>
    <link>http://arxiv.org/abs/1304.1609</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[There are many studies dealing with the protection or restoration of wetlands and the sustainable economic growth of cities as separate subjects. This study investigates the conflict between the two in an area where city growth is threatening a protected wetland area. We develop a stochastic cellular automaton model for urban growth and apply it to the Vecht area surrounding the city of Hilversum in the Netherlands, using topographic maps covering the past 150 years. We investigate the dependence of the urban growth pattern on the values associated with the protected wetland and other types of landscape surrounding the city. The conflict between city growth and wetland protection is projected to occur before 2035, assuming full protection of the wetland. Our results also show that a milder protection policy, allowing some of the wetland to be sacrificed, could be beneficial for maintaining other valuable landscapes. This insight would be difficult to achieve by other analytical means. We conclude that even slight changes in usage priorities of landscapes can significantly affect the landscape distribution in near future. Our results also point to the importance of a protection policy to take the value of surrounding landscapes and the dynamic nature of urban areas into account.
]]></description>
<dc:subject>cellular-automata social-dynamics urbanization agent-based geography simulation nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a51445cd7a04/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cellular-automata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:urbanization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:geography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1303.7144">
    <title>[1303.7144] #Bigbirds Never Die: Understanding Social Dynamics of Emergent Hashtag</title>
    <dc:date>2013-03-30T22:45:56+00:00</dc:date>
    <link>http://arxiv.org/abs/1303.7144</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We examine the growth, survival, and context of 256 novel hashtags during the 2012 U.S. presidential debates. Our analysis reveals the trajectories of hashtag use fall into two distinct classes: "winners" that emerge more quickly and are sustained for longer periods of time than other "also-rans" hashtags. We propose a "conversational vibrancy" framework to capture dynamics of hashtags based on their topicality, interactivity, diversity, and prominence. Statistical analyses of the growth and persistence of hashtags reveal novel relationships between features of this framework and the relative success of hashtags. Specifically, retweets always contribute to faster hashtag adoption, replies extend the life of "winners" while having no effect on "also-rans." This is the first study on the lifecycle of hashtag adoption and use in response to purely exogenous shocks. We draw on theories of uses and gratification, organizational ecology, and language evolution to discuss these findings and their implications for understanding social influence and collective action in social media more generally.]]></description>
<dc:subject>social-dynamics social-tagging experiment cultural-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:2d34236b6be6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-tagging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scarletimprint.blogspot.com/2012/10/cutting-head-off-snake.html?m=1">
    <title>Scarlet Imprint: Cutting the head off the snake</title>
    <dc:date>2012-11-19T11:15:09+00:00</dc:date>
    <link>http://scarletimprint.blogspot.com/2012/10/cutting-head-off-snake.html?m=1</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[When we entitled this blog 'cutting the head off the snake' the reference is not to the social media, but to what we are all doing to ourselves. Our path, like many of yours, is not one of renunciation of the world, but engagement in it. This should not be taken as a blanket rejection of the opportunities that the online world presents, but a reminder that these must be balanced against the threats it contains. This is not a unabomber manifesto, just a timely reminder of the necessity to take back control. 
]]></description>
<dc:subject>via:squidaveo the-many-attentions that-goldilocks-moment social-dynamics social-media sequestration</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0591ebdd0589/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:squidaveo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-many-attentions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:that-goldilocks-moment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sequestration"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.futilitycloset.com/2012/10/14/the-troll/">
    <title>The Troll | Futility Closet</title>
    <dc:date>2012-10-15T12:30:39+00:00</dc:date>
    <link>http://www.futilitycloset.com/2012/10/14/the-troll/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["This litigious humour is bad enough: but there is one character still worse — that of a person who goes into company, not to contradict, but to talk at you...."]]></description>
<dc:subject>Hazlitt social-dynamics trolls quotes</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3825ffdf7740/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Hazlitt"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:trolls"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:quotes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1208.0273">
    <title>[1208.0273] Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services</title>
    <dc:date>2012-08-16T14:00:55+00:00</dc:date>
    <link>http://arxiv.org/abs/1208.0273</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["It is universal to see people obtain knowledge on micro-blog services by asking others decision making questions. In this paper, we study the Jury Selection Problem(JSP) by utilizing crowdsourcing for decision making tasks on micro-blog services. Specifically, the problem is to enroll a subset of crowd under a limited budget, whose aggregated wisdom via Majority Voting scheme has the lowest probability of drawing a wrong answer(Jury Error Rate-JER). Due to various individual error-rates of the crowd, the calculation of JER is non-trivial. Firstly, we explicitly state that JER is the probability when the number of wrong jurors is larger than half of the size of a jury. To avoid the exponentially increasing calculation of JER, we propose two efficient algorithms and an effective bounding technique. Furthermore, we study the Jury Selection Problem on two crowdsourcing models, one is for altruistic users(AltrM) and the other is for incentive-requiring users(PayM) who require extra payment when enrolled into a task. For the AltrM model, we prove the monotonicity of JER on individual error rate and propose an efficient exact algorithm for JSP. For the PayM model, we prove the NP-hardness of JSP on PayM and propose an efficient greedy-based heuristic algorithm. Finally, we conduct a series of experiments to investigate the traits of JSP, and validate the efficiency and effectiveness of our proposed algorithms on both synthetic and real micro-blog data."]]></description>
<dc:subject>algorithms social-networks communication communities-of-practice social-dynamics operations-research nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a65acae0cfa5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:communication"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:communities-of-practice"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:operations-research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1207.5849">
    <title>[1207.5849] Migration in a Small World: A Network Approach to Modeling Immigration Processes</title>
    <dc:date>2012-08-16T13:58:43+00:00</dc:date>
    <link>http://arxiv.org/abs/1207.5849</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Existing theories of migration either focus on micro- or macroscopic behavior of populations; that is, either the average behavior of entire population is modeled directly, or decisions of individuals are modeled directly. In this work, we seek to bridge these two perspectives by modeling individual agents decisions to migrate while accounting for the social network structure that binds individuals into a population. Pecuniary considerations combined with the decisions of peers are the primary elements of the model, being the main driving forces of migration. People of the home country are modeled as nodes on a small-world network. A dichotomous state is associated with each node, indicating whether it emigrates to the destination country or it stays in the home country. We characterize the emigration rate in terms of the relative welfare and population of the home and destination countries. The time evolution and the steady-state fraction of emigrants are also derived."]]></description>
<dc:subject>social-dynamics network-theory social-networks nature-and-nurture-sittin-in-a-tree interesting agent-based</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6fc095ae6c30/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:network-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nature-and-nurture-sittin-in-a-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1207.5261">
    <title>[1207.5261] Modelling Epistemic Systems</title>
    <dc:date>2012-08-16T13:21:49+00:00</dc:date>
    <link>http://arxiv.org/abs/1207.5261</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["In this Chapter, I will explore the use of modeling in order to understand how Science works. I will discuss the modeling of scientific communities, providing a general, non-comprehensive overview of existing models, with a focus on the use of the tools of Agent-Based Modeling and Opinion Dynamics. A special attention will be paid to models inspired by a Bayesian formalism of Opinion Dynamics. The objective of this exploration is to better understand the effect that different conditions might have on the reliability of the opinions of a scientific community. We will see that, by using artificial worlds as exploring grounds, we can prevent some epistemological problems with the definition of truth and obtain insights on the conditions that might cause the quest for more reliable knowledge to fail."]]></description>
<dc:subject>oroboros-strategy philosophy-of-science agent-based social-dynamics social-networks academic-culture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:fd17cf4263b0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:oroboros-strategy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:academic-culture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.gonzocircus.com/xtrpgs/incubate-special-exclusive-essay-time-wars-by-mark-fisher/">
    <title>INCUBATE-special: Exclusive essay ‘Time-wars’ by Mark Fisher : Gonzo (circus) | Tijdschrift over vernieuwende muziek en cultuur</title>
    <dc:date>2012-08-12T15:41:30+00:00</dc:date>
    <link>http://www.gonzocircus.com/xtrpgs/incubate-special-exclusive-essay-time-wars-by-mark-fisher/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["These developments precisely opened up a kind of time that is now increasingly difficult to access: a time temporarily freed from the pressure to pay rent or the mortgage; an experimental time, in which the outcomes of activities could neither be predicted nor guaranteed; a time which might turn out to be wasted, but which might equally yield new concepts, perceptions, ways of being. It is this kind of time, not the harassed time of the business entrepreneur, which gives rise to the new. This kind of time, where the collective mind can unfurl, also allows the social imagination to flourish. The neoliberal era – the time when, we were repeatedly told, there was no alternative – has been characterised by a massive deterioration of social imagination, an incapacity to even conceive of different ways to work, produce and consume. It’s now clear that, from the start (and with good reason) neoliberalism declared war on this alternative mode of time. It remains tireless in its propagation of resentment against those few fugitives who can still escape the treadmill of debt and endless work, promising to ensure that soon, they too will be condemned to performing interminable, meaningless labour – as if the solution to the current stagnation lay in more work, rather than an escape from the cult of work. If there is to be any kind of future, it will depend on our winning back the uses of time that neoliberalism has sought to close off and make us forget."]]></description>
<dc:subject>capitalism social-dynamics worklife Fordism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:888951dceee8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:capitalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:worklife"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Fordism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1203.3065">
    <title>[1203.3065] The Leviathan model: Absolute dominance, generalised distrust, small worlds and other patterns emerging from combining vanity with opinion propagation</title>
    <dc:date>2012-08-12T13:59:10+00:00</dc:date>
    <link>http://arxiv.org/abs/1203.3065</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["We propose an opinion dynamics model that combines processes of vanity and opinion propagation. The interactions take place between randomly chosen pairs. During an interaction, the agents propagate their opinions about themselves and about other people they know. Moreover, each individual is subject to vanity: if her interlocutor seems to value her highly, then she increases her opinion about this interlocutor. On the contrary she tends to decrease her opinion about those who seem to undervalue her. The combination of these dynamics with the hypothesis that the opinion propagation is more efficient when coming from highly valued individuals, leads to different patterns when varying the parameters. For instance, for some parameters the positive opinion links between individuals generate a small world network. In one of the patterns, absolute dominance of one agent alternates with a state of generalised distrust, where all agents have a very low opinion of all the others (including themselves). We provide some explanations of the mechanisms behind these emergent behaviors and finally propose a discussion about their interest"]]></description>
<dc:subject>emergent-design network-theory small-world social-dynamics agent-based nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0c869f1edc72/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:network-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:small-world"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1006.5366">
    <title>[1006.5366] &quot;Not only defended but also applied&quot;: The perceived absurdity of Bayesian inference</title>
    <dc:date>2012-06-22T12:09:15+00:00</dc:date>
    <link>http://arxiv.org/abs/1006.5366</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The missionary zeal of many Bayesians of old has been matched, in the other direction, by a view among some theoreticians that Bayesian methods are absurd-not merely misguided but obviously wrong in principle. We consider several examples, beginning with Feller's classic text on probability theory and continuing with more recent cases such as the perceived Bayesian nature of the so-called doomsday argument. We analyze in this note the intellectual background behind various misconceptions about Bayesian statistics, without aiming at a complete historical coverage of the reasons for this dismissal."]]></description>
<dc:subject>social-dynamics statistics martial-arts-schools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:4c8d4c233981/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:martial-arts-schools"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1205.3676">
    <title>[1205.3676] Consensus of Multi-Agent Networks in the Presence of Adversaries Using Only Local Information</title>
    <dc:date>2012-06-16T15:32:31+00:00</dc:date>
    <link>http://arxiv.org/abs/1205.3676</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["This paper addresses the problem of resilient consensus in the presence of misbehaving nodes. Although it is typical to assume knowledge of at least some nonlocal information when studying secure and fault-tolerant consensus algorithms, this assumption is not suitable for large-scale dynamic networks. To remedy this, we emphasize the use of local strategies to deal with resilience to security breaches. We study a consensus protocol that uses only local information and we consider worst-case security breaches, where the compromised nodes have full knowledge of the network and the intentions of the other nodes. We provide necessary and sufficient conditions for the normal nodes to reach consensus despite the influence of the malicious nodes under different threat assumptions. These conditions are stated in terms of a novel graph-theoretic property referred to as network robustness."]]></description>
<dc:subject>agent-based game-theory network-theory social-dynamics nudge-targets algorithms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:69e6cb926988/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:network-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1204.0163">
    <title>[1204.0163] Coordination and Emergence in the Cellular Automated Fashion Game</title>
    <dc:date>2012-06-09T11:28:29+00:00</dc:date>
    <link>http://arxiv.org/abs/1204.0163</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Fashion plays such a crucial rule in the evolution of culture and society that it is regarded as a second nature to the human being. Also, its impact on economy is quite nontrivial. On what is fashionable, interestingly, there are two viewpoints that are both extremely widespread but almost opposite: conformists think that what is popular is fashionable, while rebels believe that being different is the essence. Fashion color is fashionable in the first sense, and Lady Gaga in the second. We investigate a model where the population consists of the afore-mentioned two groups of people that are located on a spatial structure. Theoretically, this model is equivalent to the matching pennies game on the corresponding network, and has its own interest to game theory: it is a hybrid model of pure competition and pure cooperation. This is true because when a conformist meets a rebel, they play the zero sum matching pennies game, which is pure competition. When two conformists (rebels) meet, they play the (anti-) coordination game, which is pure cooperation. Simulation shows that in most cases people can reach an extraordinarily high degree of cooperation, through selfish, myopic, naive, and local interactions. Phase transition, as well as emergence of many interesting patterns, is also observed."]]></description>
<dc:subject>cellular-automata agent-based social-dynamics complexology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ad090598d45c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cellular-automata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1205.3180">
    <title>[1205.3180] Community-Quality-Based Player Ranking in Collaborative Games with no Explicit Objectives</title>
    <dc:date>2012-06-08T15:03:57+00:00</dc:date>
    <link>http://arxiv.org/abs/1205.3180</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["However, when the game has no clear objectives, no met- ric exists to measure player contribution quality. Indeed, each player may have a different personal motivation to achieve dif- ferent self-imposed goals [4], and player actions can be con- sidered fair or disruptive towards the community depending on whether they respect or damage other player contributions. In these cases, there is a very abstract and subjective shared implicit objective that could be described as building a fair and not disruptive player community. It should be noted that fair players benefit from their behavior, as it is more likely that other players act fair towards them. Furthermore, a com- munity of disruptive players seems to repel fair players and the community quality has an intuitive tendency to gradually drop off. Contrarily, a community of fair players lures new fair players, which lead, in turn, to an increase of the commu- nity quality."]]></description>
<dc:subject>social-dynamics game-theory collaboration performance-measure teams ranking-schemes agile-management to-explore</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:26f49f03be25/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:game-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:performance-measure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:teams"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ranking-schemes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agile-management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-explore"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ribbonfarm.com/2012/03/22/can-hydras-eat-unknown-unknowns-for-lunch/">
    <title>Can Hydras Eat Unknown-Unknowns for Lunch?</title>
    <dc:date>2012-03-28T12:36:47+00:00</dc:date>
    <link>http://www.ribbonfarm.com/2012/03/22/can-hydras-eat-unknown-unknowns-for-lunch/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The general idea behind the Hydra narrative in a broad sense (not just what Taleb has said/will say in October) is that hydras eat all unknown unknowns (not just Taleb’s famous black swans) for lunch. I have heard at least three different versions of this proposition in the last year. The narrative inspires social system designs that feed on uncertainty rather than being destroyed by it. Geoffrey West’s ideas about superlinearity are the empirical part of an attempt to construct an existence proof showing that such systems are actually possible."]]></description>
<dc:subject>sustainability adaptation social-dynamics simple-models illegibility-a-la-scott</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:979b7717d3b0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sustainability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:adaptation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simple-models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:illegibility-a-la-scott"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://groupworksdeck.org/">
    <title>Welcome to the Group Pattern Language Project | Group Works</title>
    <dc:date>2012-02-02T13:42:39+00:00</dc:date>
    <link>http://groupworksdeck.org/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["This deck of 91 full-colour cards names what skilled facilitators and other participants do to make things work.  The content is more specific than values and less specific than tips and techniques, cutting across existing methodologies with a designer's eye to capture the patterns that repeat.  The deck can be used to plan sesssions, reflect on and debrief them, provide guidance, and share responsibility for making the process go well.  It has the potential to provide a common reference point for practitioners, and serve as a framework and learning tool for those studying the field. "]]></description>
<dc:subject>via:bkerr collaboration design-patterns tools social-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:387215327711/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:bkerr"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:design-patterns"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1201.4899">
    <title>[1201.4899] I Like Her more than You: Self-determined Communities</title>
    <dc:date>2012-01-30T21:31:55+00:00</dc:date>
    <link>http://arxiv.org/abs/1201.4899</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["In this paper we define what we call an affinity system, which is a set of individuals, each with a vector characterizing its preference for all other individuals in the set. The preference of a member can be given either by a ranking of all members or by a weighted vector that defines the degrees of its affinity to others. Affinity systems are useful for modeling social systems as well as general data sets, as social interactions are often determined by affinities among the members. We also define a natural notion of (potentially overlapping) communities in an affinity system, in which the members of a given community collectively prefer each other to anyone else outside the community. Thus these communities are "self-determined" or "self-certified" by the affinity system. We provide a tight polynomial bound on the number of self-determined communities as a function of the robustness of the community. Moreover, we present a polynomial-time algorithm for enumerating these communities, as well as a local algorithm with a strong stochastic performance guarantee that can find a community in time nearly linear in the of size the community.…"]]></description>
<dc:subject>network-theory social-capital social-dynamics self-assembly agent-based graph-theory algorithms complexology nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:59dd4e3de339/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:network-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-capital"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-assembly"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:graph-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1201.5477">
    <title>[1201.5477] Entropy-growth-based model of emotionally charged online dialogues</title>
    <dc:date>2012-01-27T13:34:07+00:00</dc:date>
    <link>http://arxiv.org/abs/1201.5477</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["We analyze emotionally annotated massive data from IRC (Internet Relay Chat) and model the dialogues between its participants by assuming that the driving force for the discussion is the entropy growth of emotional probability distribution. This process is claimed to be correlated to the emergence of the power-law distribution of the discussion lengths observed in the dialogues. We perform numerical simulations based on the noticed phenomenon obtaining a good agreement with the real data. Finally, we propose a method to artificially prolong the duration of the discussion that relies on the entropy of emotional probability distribution."]]></description>
<dc:subject>oh-look-power-laws flame-wars social-dynamics complexology cultural-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:4cce49abcfeb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:oh-look-power-laws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:flame-wars"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-dynamics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>