{"id":"W2112804575","doi":"10.1145/2492517.2492633","title":"Incremental local community identification in dynamic social networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Soundness; Computer science; Identification (biology); Community structure; Dynamic network analysis; Key (lock); Frame (networking); Population; Data mining; Data science; Artificial intelligence; Computer security; Mathematics; Computer network; Ecology; Sociology","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":[0.001650512,0.0006069744,0.0008085946,0.004614993,0.001045002,0.001165371,0.001934204,0.0009996869,0.0007204943],"category_scores_gemma":[0.00910083,0.0004451418,0.0006544218,0.002831668,0.0008295457,0.002971831,0.001712408,0.0008152634,0.0003756071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008188347,"about_ca_system_score_gemma":0.00069125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506905,"about_ca_topic_score_gemma":0.00746366,"domain_scores_codex":[0.9987282,0.0003776628,0.00005126392,0.0003722822,0.0003494082,0.0001210259],"domain_scores_gemma":[0.9953524,0.002589766,0.0007315274,0.0004592921,0.0006360056,0.0002310025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004415395,0.0003694633,0.03420282,0.0005353763,0.0003190603,0.00127889,0.001756438,0.3714871,0.01718922,0.03117225,0.006443272,0.5348046],"study_design_scores_gemma":[0.00001224138,0.0000355537,0.002729562,0.00002469476,0.00003158194,0.0002455101,0.0002382227,0.9713833,0.002281215,0.02105456,0.001943936,0.00001956144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1035531,0.000684476,0.8925026,0.0002558356,0.00002776824,0.0001685488,0.0003159236,0.0008259421,0.001665881],"genre_scores_gemma":[0.71076,0.0004616324,0.285578,0.00009081233,0.00006990842,0.000211892,0.0009666495,0.00009264894,0.001768548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00506905,"threshold_uncertainty_score":0.01007909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009529289300298026,"score_gpt":0.2673468518280712,"score_spread":0.2578175625277732,"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."}}