{"id":"W2029880254","doi":"10.1109/asonam.2012.85","title":"Dealing with Disappearance of an Actor Set in Social Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Node (physics); Set (abstract data type); Information flow; Network topology; Group (periodic table); Quality (philosophy); Key (lock); Class (philosophy); Distributed computing; Categorization; Flow (mathematics); Social network (sociolinguistics); Dynamic network analysis; Computer network; Topology (electrical circuits); Theoretical computer science; Computer security; Artificial intelligence; World Wide Web; Engineering; Mathematics; Social media","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001139625,0.00007237867,0.0001501938,0.00002795466,0.00003459165,0.000008456464,0.00008108486,0.00001723128,0.0002229706],"category_scores_gemma":[2.432235e-7,0.00005839774,0.00003788984,0.0001471792,0.00002596579,0.0001306545,0.00002329652,0.00007699995,9.985731e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007175217,"about_ca_system_score_gemma":0.000005265282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002695231,"about_ca_topic_score_gemma":0.00007315534,"domain_scores_codex":[0.999509,0.00002498816,0.0001269856,0.00008160777,0.00006705413,0.0001903932],"domain_scores_gemma":[0.9997662,0.0000143721,0.00006185717,0.0001062831,0.00001609945,0.00003523024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002624326,0.0001389696,0.9193116,0.000002896086,0.00004418211,1.382173e-7,0.0003754446,0.001651897,0.00009846272,0.05827174,0.0001846326,0.01989378],"study_design_scores_gemma":[0.001725684,0.0002161325,0.8185884,0.0001352341,0.0001713754,9.760387e-7,0.002163835,0.1552571,0.006384678,0.009280911,0.004810219,0.001265482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941342,0.00002267875,0.09796377,0.00001611155,0.000009094291,0.0000690122,0.000002377864,0.00002855358,0.007754155],"genre_scores_gemma":[0.9973691,4.325752e-7,0.002170677,0.00001064616,0.0003857267,0.000006953601,0.00001595018,0.000009062607,0.00003142848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1536052,"threshold_uncertainty_score":0.2441372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694193562775237,"score_gpt":0.2937378100636161,"score_spread":0.2767958744358637,"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."}}