{"id":"W4206593497","doi":"10.1007/s11042-021-11857-1","title":"The homophily principle in social network analysis: A survey","year":2022,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; Lakehead University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Homophily; Computer science; Social media; Social network (sociolinguistics); Data science; Sociology; World Wide Web; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006190005,0.0000939841,0.000184878,0.0000591524,0.001205052,0.00009103,0.0002454859,0.00001365267,0.0001365919],"category_scores_gemma":[0.000003588642,0.00008168359,0.0001028973,0.001485131,0.00005976535,0.00003448573,0.0002304397,0.0001989556,0.000003758488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000252224,"about_ca_system_score_gemma":0.00002548045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004270474,"about_ca_topic_score_gemma":0.000499039,"domain_scores_codex":[0.9990112,0.000157115,0.0002421601,0.0002310912,0.0001323818,0.0002260089],"domain_scores_gemma":[0.9992086,0.0003691582,0.0001040104,0.0002495433,0.00003063019,0.00003805914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001518961,0.0002049052,0.7798904,0.000001335292,0.0004467364,2.954673e-7,0.0002245194,0.005312291,0.00001736961,0.05418349,0.004649101,0.1550544],"study_design_scores_gemma":[0.0002079633,0.000009143113,0.7678147,7.203829e-7,0.000147426,1.18226e-7,0.0001645695,0.03576654,0.000003576692,0.01230031,0.1834073,0.0001776917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515599,0.002499663,0.213494,0.003768235,0.0001809435,0.006566176,0.002996317,0.0005281803,0.01840664],"genre_scores_gemma":[0.9958326,0.000009486503,0.0006302503,0.00003158985,0.000343249,0.002418075,0.0005287714,0.00000910037,0.0001969253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442727,"threshold_uncertainty_score":0.9268411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497537688498273,"score_gpt":0.3009042019415362,"score_spread":0.2759288250565534,"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."}}