{"id":"W2232198868","doi":"10.1609/icwsm.v5i1.14182","title":"MODEC — Modeling and Detecting Evolutions of Communities","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Snapshot (computer storage); Data science; Computer science; Variety (cybernetics); Multitude; Evolving networks; Social network (sociolinguistics); Social network analysis; Biological network; Complex network; Data mining; Social media; Artificial intelligence; World Wide Web","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":[0.005101152,0.001183799,0.001085106,0.004433332,0.001586403,0.002364801,0.003628719,0.002608166,0.001436721],"category_scores_gemma":[0.02592767,0.0008748323,0.001735647,0.002579818,0.001423558,0.003261,0.002480203,0.002190852,0.000648962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178199,"about_ca_system_score_gemma":0.00172681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757632,"about_ca_topic_score_gemma":0.0145806,"domain_scores_codex":[0.9977685,0.0008667575,0.00007029268,0.0007132844,0.0004080847,0.0001730415],"domain_scores_gemma":[0.9880993,0.007605526,0.001117823,0.001534442,0.00115819,0.0004847512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002531507,0.0001905117,0.03007108,0.0002345874,0.0002338472,0.0002559745,0.0004822619,0.8329909,0.003198936,0.03757944,0.008800813,0.08570853],"study_design_scores_gemma":[0.000005214934,0.00001232484,0.0005054862,0.000007066857,0.000005887031,0.00003658761,0.00001636157,0.9899895,0.0002493606,0.008524733,0.0006420627,0.000005442641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09261473,0.001026702,0.8973579,0.0008217127,0.0001015952,0.0003636043,0.002595984,0.002110572,0.003007183],"genre_scores_gemma":[0.5816315,0.0006312463,0.4086422,0.0002946001,0.0002047294,0.0007763678,0.004211089,0.000306274,0.003301913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01757632,"threshold_uncertainty_score":0.03494805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04326907636107644,"score_gpt":0.2695168491721134,"score_spread":0.2262477728110369,"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."}}