{"id":"W2134165172","doi":"10.1109/icdmw.2010.40","title":"Meerkat: Community Mining with Dynamic Social Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Visualization; Data science; Graphical user interface; Social network analysis; Data mining; Social network (sociolinguistics); Exploratory analysis; Network analysis; Event (particle physics); Data visualization; Social media; World Wide Web; Engineering","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":[0.002604123,0.001893605,0.001357664,0.007078368,0.001629791,0.003302154,0.002939103,0.001596649,0.01338181],"category_scores_gemma":[0.01542261,0.00118419,0.001928671,0.005442028,0.0007218908,0.00576667,0.003624768,0.002086707,0.005405231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596686,"about_ca_system_score_gemma":0.001434682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004121032,"about_ca_topic_score_gemma":0.006521764,"domain_scores_codex":[0.9984741,0.0004821011,0.0001066016,0.0002823808,0.0005606636,0.00009416999],"domain_scores_gemma":[0.996246,0.002044611,0.0003507852,0.0007415756,0.0004283891,0.0001885231],"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":[0.0007352866,0.0004131743,0.0100894,0.001999616,0.001023416,0.0007947448,0.002183459,0.1103278,0.01139981,0.09791207,0.1750204,0.5881009],"study_design_scores_gemma":[0.0002117087,0.00007780302,0.001823573,0.000142318,0.00009496529,0.0005797778,0.0003021717,0.7895201,0.008007938,0.118374,0.08075624,0.0001094128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007556133,0.0004394635,0.9405308,0.0004569299,0.000114751,0.0004335215,0.00651695,0.04035549,0.003595933],"genre_scores_gemma":[0.06879348,0.0004256124,0.9112809,0.0001678834,0.00007536921,0.00095447,0.0111928,0.003061065,0.004048432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01338181,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007234276236694074,"score_gpt":0.2559657912966591,"score_spread":0.248731515059965,"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."}}