{"id":"W1587653186","doi":"10.2139/ssrn.1336634","title":"Diversity and Popularity in Social Networks","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Media and Politics","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada); Université Laval","funders":"","keywords":"Popularity; Diversity (politics); Data science; Internet privacy; Sociology; Computer science; Psychology; Social psychology; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002895944,0.0001667119,0.0006499838,0.005777899,0.002384892,0.004521198,0.0006529381,0.001232437,0.009096832],"category_scores_gemma":[0.03245244,0.0003888695,0.0004652097,0.005485231,0.003406282,0.008718399,0.00282986,0.001266388,0.000604716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009465556,"about_ca_system_score_gemma":0.0003140599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425838,"about_ca_topic_score_gemma":0.00410579,"domain_scores_codex":[0.9974856,0.001201925,0.0001249088,0.0004145181,0.0004565565,0.0003164022],"domain_scores_gemma":[0.9314365,0.05312021,0.007064288,0.002149608,0.002783474,0.003445806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000674892,0.000225998,0.8634089,0.0001251063,0.0003694367,0.0003669506,0.01189607,0.004100388,0.001219731,0.08682535,0.002188491,0.02859868],"study_design_scores_gemma":[0.00009076065,0.0002802838,0.7987525,0.00009699678,0.0001676291,0.001062455,0.01861162,0.01868651,0.0005103746,0.1558885,0.005749638,0.0001026893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859719,0.0006517251,0.001907739,0.0008452929,0.00002174291,0.00001020815,0.0003040716,0.00001777202,0.01026944],"genre_scores_gemma":[0.9992601,0.0000805107,0.00008288091,0.00001617444,0.00003678562,0.00000409645,0.00006003395,0.000003976591,0.00045545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009096832,"threshold_uncertainty_score":0.03043193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776984768417101,"score_gpt":0.2949898557841477,"score_spread":0.2772200080999767,"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."}}