{"id":"W3184867432","doi":"10.1038/s41467-021-24704-6","title":"Topological measures for identifying and predicting the spread of complex contagions","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institutes of Health; Robert Wood Johnson Foundation","keywords":"Centrality; Social connectedness; Complex network; Computer science; Path (computing); Path length; Average path length; Betweenness centrality; Shortest path problem; Measure (data warehouse); Node (physics); Network science; Network theory; Theoretical computer science; Social network (sociolinguistics); Topology (electrical circuits); Data science; Mathematics; Data mining; Social media; Computer network; Psychology; Graph; World Wide Web; Statistics; Social psychology; Physics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612682,0.0006495378,0.0003532565,0.009460049,0.0005130556,0.001310146,0.0006182963,0.0008144838,0.001428606],"category_scores_gemma":[0.01911037,0.0002078601,0.0004680453,0.004934413,0.0008605853,0.002776147,0.0008350222,0.0007867185,0.0002646314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008723272,"about_ca_system_score_gemma":0.0004482508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682511,"about_ca_topic_score_gemma":0.003093319,"domain_scores_codex":[0.9993556,0.000286067,0.00005538283,0.00009094689,0.0001601284,0.00005181918],"domain_scores_gemma":[0.9858395,0.009096636,0.002885329,0.0008720972,0.0009623382,0.0003440094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001716784,0.0002111074,0.3585409,0.0004153268,0.0004484216,0.0003491375,0.0007604604,0.4166577,0.004702828,0.07285968,0.003029722,0.1418531],"study_design_scores_gemma":[0.0000158454,0.0001135513,0.08346318,0.00007770575,0.0000992947,0.0003454353,0.0007101303,0.8557765,0.001548534,0.05600016,0.00178364,0.00006589646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5935963,0.001318067,0.3952442,0.0006196946,0.00005527799,0.0001990238,0.001722047,0.00049793,0.006747435],"genre_scores_gemma":[0.9629236,0.0003141095,0.03591524,0.00001613521,0.00003082781,0.00006913554,0.0004783151,0.00001485796,0.0002376785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009460049,"threshold_uncertainty_score":0.008528769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08536638279729919,"score_gpt":0.3784697302525729,"score_spread":0.2931033474552737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}