{"id":"W2121020155","doi":"10.1109/asonam.2009.14","title":"Local Community Identification in Social Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Collegiate Athletic Association","keywords":"Computer science; Community structure; Identification (biology); Hierarchy; Data mining; Data science; Outlier; Complex network; Graph; Local community; Machine learning; Theoretical computer science; Artificial intelligence; World Wide Web; Mathematics","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":[0.002075789,0.0007332115,0.0009288052,0.00666571,0.001344994,0.001409546,0.001354708,0.001297246,0.001548574],"category_scores_gemma":[0.01149153,0.0004879704,0.000641241,0.003628414,0.001499119,0.003469022,0.002199744,0.000998606,0.0006246128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009608201,"about_ca_system_score_gemma":0.0007115243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534918,"about_ca_topic_score_gemma":0.003296053,"domain_scores_codex":[0.9976451,0.000899381,0.00008024187,0.000587208,0.0006167041,0.0001712924],"domain_scores_gemma":[0.9933161,0.003429451,0.001232116,0.0007439255,0.0009249275,0.0003535758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000311598,0.0002565921,0.02730882,0.0008569331,0.0003504892,0.0005252131,0.001321571,0.3204353,0.01961651,0.1050157,0.008020256,0.5159811],"study_design_scores_gemma":[0.00002539891,0.00006556768,0.004896926,0.00005703311,0.00004675586,0.0003198259,0.0003556942,0.9000576,0.00523935,0.08549226,0.003392032,0.00005158195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05290132,0.0007697713,0.9430749,0.0001848565,0.0000213448,0.0001361343,0.0001682735,0.0005764996,0.00216689],"genre_scores_gemma":[0.6561687,0.000585376,0.3396626,0.00009084336,0.00009437074,0.0002403516,0.0006329499,0.0001748925,0.002349908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00666571,"threshold_uncertainty_score":0.01097798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709537810502288,"score_gpt":0.2942611460251368,"score_spread":0.2771657679201139,"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."}}