Pinboard (cshalizi)
https://pinboard.in/u:cshalizi/public/
recent bookmarks from cshaliziSparse and partially observed large-scale networks: analytic statistics, behaviour, and structural inference2026-02-17T16:02:02+00:00
https://spiral.imperial.ac.uk/entities/publication/5e4c3fee-816e-474a-a452-b7c74376aa69
cshalizito:NB network_data_analysis social_networkshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8be9d1ba3093/Use of aggregated relational data in agent-based modeling - ScienceDirect2026-02-17T16:00:59+00:00
https://www.sciencedirect.com/science/article/pii/S0378873325000668?via%3Dihub
cshalizito:NB agent-based_models networks axelrod_model network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f3b72b309c49/Investigating the methodological foundation of lesion network mapping | Nature Neuroscience2026-02-07T20:26:58+00:00
https://www.nature.com/articles/s41593-025-02196-7
cshalizito:NB neuroscience network_data_analysis evisceration functional_connectivity via:? have_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2dc87b1031bb/[2510.06136] Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques2026-01-30T12:09:41+00:00
https://arxiv.org/abs/2510.06136
cshalizito:NB network_data_analysis multidimensional_scaling re:hyperbolic_networks inference_to_latent_objectshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9dfccc0379ec/Online Network Change Point Detection With Missing Values and Temporal Dependence - Xu - Journal of Time Series Analysis - Wiley Online Library2025-10-25T20:04:01+00:00
https://onlinelibrary.wiley.com/doi/abs/10.1111/jtsa.70023?campaign=wolearlyview
cshalizito:NB time_series network_data_analysis change-point_problem re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:6d46bde9739c/Community Competition and Political Extremism2025-09-05T16:02:43+00:00
https://osf.io/xra56
cshalizito:NB networked_life sociology social_life_of_the_mind network_data_analysis re:actually-dr-internet-is-the-name-of-the-monsters-creatorhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:605b6b96aca1/[2506.22946] Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research2025-08-05T12:59:14+00:00
https://arxiv.org/abs/2506.22946
cshalizito:NB sociology_of_science bibliometry network_data_analysis mathematicshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:631e8471e78a/[2411.10908] The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference2025-04-28T02:05:56+00:00
https://arxiv.org/abs/2411.10908
cshalizito:NB to_read experimental_design causal_inference network_data_analysis re:do_not_adjust_your_receiverhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d8cfab94679b/Network Analysis as a Grand Unifier in Biomedical Data Science | Annual Reviews2025-04-09T14:54:58+00:00
https://www.annualreviews.org/content/journals/10.1146/annurev-biodatasci-080917-013444
cshalizito:NB network_data_analysis networks biochemical_networks via:akshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:30e36c1f0a02/[2310.20609] Graph Matching via convex relaxation to the simplex2025-04-09T14:54:27+00:00
https://arxiv.org/abs/2310.20609
cshalizito:NB network_data_analysis re:network_differences optimizationhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5332420e2d77/[2503.09299] Low-Rank Graphon Estimation: Theory and Applications to Graphon Games2025-04-09T14:17:10+00:00
https://arxiv.org/abs/2503.09299
cshalizito:NB network_data_analysis re:smoothing_adjacency_matrices low-rank_approximationhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4a5fdd1f720b/[2503.03047] Stochastic block models with many communities and the Kesten--Stigum bound2025-04-09T14:14:39+00:00
https://arxiv.org/abs/2503.03047
cshalizito:NB community_discovery network_data_analysis graphons re:smoothing_adjacency_matriceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2fa03337b383/[2503.16959] Higher-order dissimilarity measures for hypergraph comparison2025-03-31T23:37:14+00:00
https://arxiv.org/abs/2503.16959
cshalizito:NB network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5249779be399/[2110.15886] A probabilistic view of latent space graphs and phase transitions2025-01-13T05:10:37+00:00
https://arxiv.org/abs/2110.15886
cshalizito:NB network_data_analysis sds_icsd_search phase_transitionshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:08090b3d5fd9/[2211.13000] A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata2024-07-23T14:56:27+00:00
https://arxiv.org/abs/2211.13000
cshalizito:NB to_read network_data_analysis cellular_automata classifiers via:vagueryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c05ac37b45b9/[2404.11464] Rates of convergence and normal approximations for estimators of local dependence random graph models2024-04-24T14:12:23+00:00
https://arxiv.org/abs/2404.11464
cshalizistatistics network_data_analysis exponential_family_random_graphs stochastic_block_models in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:42f4a77dbcd5/[2402.07999] NetInfoF Framework: Measuring and Exploiting Network Usable Information2024-03-12T01:33:46+00:00
https://arxiv.org/abs/2402.07999
cshalizito:NB network_data_analysis classifiers entropy_estimation information_theory faloutsos.christoshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d6e3be34531e/[2402.15489] On inference for modularity statistics in structured networks2024-03-05T16:40:57+00:00
https://arxiv.org/abs/2402.15489
cshalizicommunity_discovery network_data_analysis stochastic_block_models schizophrenia in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:0f780eabaf26/[2401.01404v2] Scalable network reconstruction in subquadratic time2024-01-11T01:12:15+00:00
https://arxiv.org/abs/2401.01404v2
cshalizito:NB network_data_analysis inference_to_latent_objects piexoto.tiago_p. computational_statistics via:rvenkathttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8414c5373c7d/Projective, sparse and learnable latent position network models2023-12-22T21:02:52+00:00
https://projecteuclid.org/journals/annals-of-statistics/volume-51/issue-6/Projective-sparse-and-learnable-latent-position-network-models/10.1214/23-AOS2340.short
cshaliziin_NB self-promotion network_data_analysis spencer.neil to:blog re:geographons_project graphonshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8e9df0f8cb85/[2203.14223] Identifying Peer Influence in Therapeutic Communities2023-11-16T03:04:55+00:00
https://arxiv.org/abs/2203.14223
cshalizito:NB to_read have_skimmed network_data_analysis homophily social_influence re:community_controlhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b0381fb50e84/[2309.03969] Estimating the prevalance of peer effects and other spillovers2023-11-02T01:17:18+00:00
https://arxiv.org/abs/2309.03969
cshalizito:NB causal_inference experiments_on_networks network_data_analysis kith_and_kin choi.david_s.https://pinboard.in/https://pinboard.in/u:cshalizi/b:4f870f4f26ad/[2306.07252] On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling2023-06-28T01:22:37+00:00
https://arxiv.org/abs/2306.07252
cshaliziconformal_prediction network_data_analysis kith_and_kin lunde.robert in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:7666bfb36eb0/[2206.05081] The Evolution Of Centralisation on Cryptocurrency Platforms2023-06-24T20:37:58+00:00
https://arxiv.org/abs/2206.05081
cshaliziin_NB network_data_analysis cryptocurrencies re:no_one_makes_you_push_to_github have_skimmedhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:fad8d993f1a9/Full article: Survival Mixed Membership Blockmodel2023-06-08T15:33:28+00:00
https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2213466?casa_token=5YCQmnR5dvgAAAAA%3ALmyxVAGqVmvF-xgzm8Xk3b0CoQY3O9T4_YAJ-EL3djAUMPgoV855ee62aIIWj5oINszLh5cqdEA
cshalizito:NB stochastic_block_models point_processes network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2158c75ce0e7/[2305.06353] An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference2023-06-08T15:30:22+00:00
https://arxiv.org/abs/2305.06353
cshalizito:NB stochastic_block_models network_data_analysis central_limit_theorem to_teach:baby-netshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5e2b399628cb/[2305.10380] Goodness of fit testing based on graph functionals for homgenous Erdös Renyi graphs2023-06-08T15:25:49+00:00
https://arxiv.org/abs/2305.10380
cshalizigoodness-of-fit network_data_analysis in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8d1e90a8b88c/[2305.14814] What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding2023-06-05T03:07:54+00:00
https://arxiv.org/abs/2305.14814
cshalizito:NB neural_networks network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:de570450713c/[2305.12470] Quasi-Monte Carlo Graph Random Features2023-05-28T13:45:37+00:00
https://arxiv.org/abs/2305.12470
cshalizirandom_features network_data_analysis monte_carlo graph_theory to_read re:codename:catherine_wheel in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:98485ad59efc/[2305.00156] Taming graph kernels with random features2023-05-05T01:42:21+00:00
https://arxiv.org/abs/2305.00156
cshalizikernel_methods random_features network_data_analysis re:codename:catherine_wheel to_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ea626ea336b0/[2304.03331] A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important2023-04-27T14:47:55+00:00
https://arxiv.org/abs/2304.03331
cshalizinetwork_data_analysis social_networks in_NB spatial_statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e5a0327fabe9/Sampling Individuals With Large Sexual Networks: An Evaluation of Four Approaches on JSTOR2023-04-24T21:39:01+00:00
https://www.jstor.org/stable/44965462
cshalizi10 people), followed by the coinfected people, the repeaters, and finally the random sample. Conclusions: People coinfected with chlamydia and gonorrhea and those with repeated chlamydial infection present ideal opportunities for both research and prevention."
--- Background reading for a collaboration that never (as it were) came to fruition.]]>to_reread social_networks network_data_analysis social_measurement practices_relating_to_the_transmission_of_genetic_information to_teach:baby-nets cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:11d02cd222d1/Determinants and Consequences of Sexual Networks as They Affect the Spread of Sexually Transmitted Infections | The Journal of Infectious Diseases | Oxford Academic2023-04-24T21:36:46+00:00
https://academic.oup.com/jid/article/191/Supplement_1/S42/934023
cshalizito_reread social_networks network_data_analysis social_measurement practices_relating_to_the_transmission_of_genetic_information cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 to_teach:baby-nets have_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:6034c3cb1dd6/[2303.16598] Robust recovery of Robinson $L^p$-graphons2023-04-22T13:54:22+00:00
https://arxiv.org/abs/2303.16598
cshalizi5, every Lp-graphon w can be approximated by a Robinson graphon, with error of the approximation bounded in terms of \IN{Λ(w)}. When w is a noisy version of a Robinson graphon, our method provides a concrete formula for recovering the Robinson graphon approximating w in cut-norm."]]>re:smoothing_adjacency_matrices graphons network_data_analysis scooped? to_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2651f1bebb02/Network Inference Using the Hub Model and Variants: Journal of the American Statistical Association: Vol 0, No ja2023-03-18T13:57:06+00:00
https://www.tandfonline.com/doi/abs/10.1080/01621459.2023.2183133
cshaliziinference_to_latent_objects functional_connectivity network_data_analysis time_series to_read bickel.peter in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:fdee119e04f3/[2302.10095] Conformal Prediction for Network-Assisted Regression2023-03-18T13:55:08+00:00
https://arxiv.org/abs/2302.10095
cshalizinetwork_data_analysis prediction regression conformal_prediction kith_and_kin lunde.robert levina.elizaveta zhu.ji in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:cd205e9fff43/A network community detection method with integration of data from multiple layers and node attributes | Network Science | Cambridge Core2023-03-18T13:52:18+00:00
https://www.cambridge.org/core/journals/network-science/article/abs/network-community-detection-method-with-integration-of-data-from-multiple-layers-and-node-attributes/4381E20BCA49A082C27A6F607F3D561F
cshalizito:NB community_discovery network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:1cf2365d0f22/[2303.04871] Discovering a change point in a time series of organoid networks via the iso-mirror2023-03-17T18:12:06+00:00
https://arxiv.org/abs/2303.04871
cshalizito:NB neural_data_analysis network_data_analysis change-point_problem re:network_differences dimension_reductionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5859e41f08a4/[2303.07023] Strong, weak or no balance? Testing structural hypotheses against real networks2023-03-17T17:42:57+00:00
https://arxiv.org/abs/2303.07023
cshalizinetwork_data_analysis exponential_family_random_graphs social_balance social_networks in_NB of_course_its_really_a_spin_glasshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9bad33ad8977/[2303.05909] A pseudo-likelihood approach to community detection in weighted networks2023-03-17T17:42:02+00:00
https://arxiv.org/abs/2303.05909
cshalizito:NB community_discovery network_data_analysis levina.elizavetahttps://pinboard.in/https://pinboard.in/u:cshalizi/b:df0c9e68ab6c/[2301.03630] Hierarchical core-periphery structure in networks2023-01-19T04:14:18+00:00
https://arxiv.org/abs/2301.03630
cshalizito:NB network_data_analysis newman.mark kith_and_kin re:fractal_networks to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8847520c9000/[2212.12839] Escape times for subgraph detection and graph partitioning2023-01-18T03:12:24+00:00
https://arxiv.org/abs/2212.12839
cshalizito:NB networks network_data_analysis community_discovery stochastic_processes mucha.peterhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f14fb18e0235/Laplacian renormalization group for heterogeneous networks | Nature Physics2023-01-17T05:01:26+00:00
https://www.nature.com/articles/s41567-022-01866-8
cshalizito:NB network_data_analysis re:fractal_networks to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a6c4fb2e11be/[2210.07491] Latent process models for functional network data2022-12-09T20:01:58+00:00
https://arxiv.org/abs/2210.07491
cshalizito:NB network_data_analysis statistics inference_to_latent_objects functional_data_analysis levina.liza to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:df335b19ec43/Causal Network Analysis | Annual Review of Sociology2022-08-06T16:26:17+00:00
https://www.annualreviews.org/doi/abs/10.1146/annurev-soc-030320-102100
cshalizito:NB to_read causal_inference network_data_analysis re:homophily_and_confounding social_networks color_me_skepticalhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c844f4b17fb8/[2206.05614] Information theory of spatial network ensembles2022-07-14T18:26:24+00:00
https://arxiv.org/abs/2206.05614
cshaliziexponential_family_random_graphs network_data_analysis in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ac3c8cad1b21/[2008.05337] Inference of a universal social scale and segregation measures using social connectivity kernels2022-07-02T14:15:55+00:00
https://arxiv.org/abs/2008.05337
cshalizito:NB network_data_analysis kernel_methodshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c48b6bbc70b3/[2206.01553] Detecting hyperbolic geometry in networks: why triangles are not enough2022-06-09T08:40:37+00:00
https://arxiv.org/abs/2206.01553
cshalizito:NB network_data_analysis hyperbolic_geometry re:hyperbolic_networkshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:83164d4efa1e/[2203.07230] Laplacian Renormalization Group for heterogeneous networks2022-06-06T12:56:59+00:00
https://arxiv.org/abs/2203.07230
cshalizito:NB renormalization graph_theory network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9aea199820a2/[2203.06948] Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis2022-06-05T22:18:06+00:00
https://arxiv.org/abs/2203.06948
cshaliziexponential_family_random_graphs networks_in_and_over_time network_data_analysis in_NB butts.carter_t.https://pinboard.in/https://pinboard.in/u:cshalizi/b:9da48de8e600/Recovering shared structure from multiple networks with unknown edge distributions2022-03-27T15:55:13+00:00
https://www.jmlr.org/papers/v23/19-1056.html
cshalizito:NB network_data_analysis levina.lizahttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4254f5793b91/Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator2022-03-08T14:51:26+00:00
https://projecteuclid.org/journals/bernoulli/volume-28/issue-2/Asymptotically-efficient-estimators-for-stochastic-blockmodels--The-naive-MLE/10.3150/21-BEJ1376.short
cshalizito:NB network_data_analysis stochastic_block_models spectral_methods priebe.carey_e.https://pinboard.in/https://pinboard.in/u:cshalizi/b:693e844626fb/Epistemic clashes in network science: Mapping the tensions between idiographic and nomothetic subcultures - Mathieu Jacomy, 20202022-03-01T02:45:07+00:00
https://journals.sagepub.com/doi/full/10.1177/2053951720949577
cshalizito:NB to_read heavy_tails network_data_analysis re:scale_free_networks_controversyhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:dd1171d1a56e/SocArXiv Papers | Human-Network Regions as Effective Geographic Units for Disease Mitigation2022-01-11T15:34:24+00:00
https://osf.io/preprints/socarxiv/4mp6x/
cshalizito:NB spatio-temporal_statistics network_data_analysis porter.mason_a. community_discoveryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:610570028f53/Modularity and Dynamics on Complex Networks2022-01-10T20:06:19+00:00
https://doi.org/10.1017/9781108774116
cshalizito:NB to_read network_data_analysis community_discoveryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:088275d9040b/The Shortest Path to Network Geometry2022-01-10T20:04:38+00:00
https://doi.org/10.1017/9781108865791
cshalizito:NB network_data_analysis hyperbolic_geometry geometry inference_to_latent_objects re:hyperbolic_networks to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b1527a8324c7/[2112.00183] Descriptive vs. inferential community detection: pitfalls, myths and half-truths2021-12-07T14:37:42+00:00
https://arxiv.org/abs/2112.00183
cshalizito:NB to_read community_discovery network_data_analysis inference_to_latent_objects peixoto.tiago to_teach:baby-netshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:17d3ef93eb8c/[2107.00248] Randomization-only Inference in Experiments with Interference2021-10-25T20:04:21+00:00
https://arxiv.org/abs/2107.00248
cshalizito:NB have_skimmed heard_the_talk experimental_design experiments_on_networks network_data_analysis statistics kith_and_kin to_read choi.david_s.https://pinboard.in/https://pinboard.in/u:cshalizi/b:4d7e366be396/Community detection with nodal information: likelihood and its variational approximation - Weng - - Stat - Wiley Online Library2021-10-18T13:55:08+00:00
https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.428
cshalizito:NB community_discovery network_data_analysis inference_to_latent_objectshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:14a346f001cd/Consistent Estimation of Number of Communities in Stochastic Block Models using Cross‐Validation - Qin - - Stat - Wiley Online Library2021-10-11T19:50:46+00:00
https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.426
cshalizito:NB stochastic_block_models community_discovery cross-validation network_data_analysis kith_and_kin lei.jing heard_the_talkhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:23e1965abcdf/[2003.04235] Differential Network Analysis: A Statistical Perspective2021-09-23T19:09:44+00:00
https://arxiv.org/abs/2003.04235
cshalizito:NB re:network_differences shojaie.ali network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4406cafc2c4d/Fairness in Networks | Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining2021-09-06T13:23:33+00:00
https://dl.acm.org/doi/abs/10.1145/3447548.3470821
cshalizito:NB network_data_analysis social_networks algorithmic_fairness kith_and_kin clauset.aaron to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5cfc6bc2769a/Causal Inference from Network Data | Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining2021-09-06T13:22:45+00:00
https://dl.acm.org/doi/abs/10.1145/3447548.3470795
cshalizito:NB to_read network_data_analysis causal_inference causal_discovery re:homophily_and_confoundinghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c59868f8ecfb/[2107.07489] Clustering of heterogeneous populations of networks2021-08-11T18:42:50+00:00
https://arxiv.org/abs/2107.07489
cshaliziin_NB clustering network_data_analysis re:network_differences newman.mark kith_and_kin statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:15a8e80b2b7b/[2108.01149] Linking the Network Centrality Measures Closeness and Degree2021-08-06T15:45:37+00:00
https://arxiv.org/abs/2108.01149
cshalizito:NB network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f98e7a4a3e59/[2007.02156] On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates2021-08-06T15:35:20+00:00
https://arxiv.org/abs/2007.02156
cshalizito:NB community_discovery network_data_analysis spectral_clustering statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9371f0ecd0fc/[2107.14677] Inference for Dependent Data with Learned Clusters2021-08-03T04:44:31+00:00
https://arxiv.org/abs/2107.14677
cshalizito:NB spatial_statistics clustering network_data_analysis to_read statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a2dcdacdd605/Estimating Homophily in Social Networks Using Dyadic Predictions | Sociological Science2021-08-03T04:38:11+00:00
https://sociologicalscience.com/articles-v8-14-285/
cshalizito:NB homophily network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:17e7deffa866/[2107.04224] Causal Inference for Influence Propagation -- Identifiability of the Independent Cascade Model2021-07-12T14:48:36+00:00
https://arxiv.org/abs/2107.04224
cshalizito:NB information_cascades causal_inference network_data_analysis color_me_skeptical statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ee4bb288ef49/Consistent Nonparametric Methods for Network Assisted Covariate Estimation2021-07-02T15:44:26+00:00
https://icml.cc/Conferences/2021/ScheduleMultitrack?event=9083
cshalizito:NB network_data_analysis smoothing sarkar.purnamrita statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8adffe044a85/