{"id":"W4324387388","doi":"10.1016/j.eswa.2023.119791","title":"Dynamic community detection including node attributes","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agenția Națională pentru Cercetare și Dezvoltare; Instituto de Sistemas Complejos de Ingeniería; Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Canadian Bureau for International Education; McGill University","keywords":"Computer science; Joins; Node (physics); Cluster analysis; Task (project management); Data mining; Dynamic network analysis; Community structure; Social network (sociolinguistics); State (computer science); Artificial intelligence; Machine learning; Algorithm; Mathematics; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425138,0.0005637333,0.0009205196,0.003018665,0.0008403763,0.001249161,0.001204833,0.0009471118,0.0016642],"category_scores_gemma":[0.009954551,0.000362361,0.0006622085,0.00323958,0.0003399045,0.002508827,0.001127817,0.0008571894,0.0007074579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005160927,"about_ca_system_score_gemma":0.0007583393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378238,"about_ca_topic_score_gemma":0.007034438,"domain_scores_codex":[0.9989908,0.0002491768,0.00004257428,0.0003521248,0.0002742396,0.00009104591],"domain_scores_gemma":[0.9958755,0.002341982,0.0003250083,0.0006510156,0.0006077292,0.0001986724],"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":[0.0007090419,0.0007391257,0.02917358,0.0004144605,0.0003539498,0.0004930936,0.0003645618,0.3140346,0.02116298,0.02814289,0.01420594,0.5902057],"study_design_scores_gemma":[0.000008312919,0.00002380066,0.00174293,0.000009689634,0.00001968123,0.0000958236,0.00003926162,0.982446,0.001317795,0.01322127,0.001068405,0.000007037926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08984905,0.0003965393,0.9043405,0.0003144659,0.00007659184,0.0001231239,0.001219857,0.001046277,0.002633626],"genre_scores_gemma":[0.7171707,0.0002694644,0.2754652,0.00009300058,0.0001553964,0.0001323861,0.002261156,0.0001211021,0.004331625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00378238,"threshold_uncertainty_score":0.007536888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269509715805709,"score_gpt":0.3108842685189088,"score_spread":0.2781891713608518,"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."}}