{"id":"W2120913948","doi":"10.1109/icdm.2010.88","title":"Mixed-Membership Stochastic Block-Models for Transactional Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Generative model; Inference; Theoretical computer science; Data mining; Social network analysis; Transactional leadership; Data modeling; Block (permutation group theory); Social network (sociolinguistics); Stochastic block model; Artificial intelligence; Machine learning; Generative grammar; Social media; Cluster analysis; Database; World Wide Web; Mathematics","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":[0.004237891,0.0008977712,0.001397947,0.001255012,0.0008177208,0.002083973,0.003672268,0.001841215,0.008744703],"category_scores_gemma":[0.01455509,0.0007989195,0.001296921,0.00158037,0.001698351,0.004769945,0.001784134,0.00268058,0.001757354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920029,"about_ca_system_score_gemma":0.0009540716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007818034,"about_ca_topic_score_gemma":0.008714848,"domain_scores_codex":[0.9983985,0.000766097,0.00007077273,0.0003443424,0.0002627626,0.0001574693],"domain_scores_gemma":[0.990995,0.006145943,0.000945976,0.0007276227,0.0007592024,0.0004261966],"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":[0.0001077922,0.00006750638,0.00205826,0.00007784162,0.00008242385,0.00009508693,0.0002912007,0.5041859,0.0005344757,0.4780271,0.003066904,0.01140554],"study_design_scores_gemma":[0.000007448077,0.000007138448,0.0001287712,0.000004366384,0.000005231298,0.00001089133,0.00001322091,0.9174053,0.00004914475,0.08162124,0.0007409928,0.000006328181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03045178,0.0005164241,0.9641668,0.0007627538,0.00006263394,0.00007903459,0.000777513,0.0002615543,0.002921381],"genre_scores_gemma":[0.7920518,0.001405773,0.1730925,0.0004545849,0.0002657354,0.0008462864,0.002970089,0.0002718655,0.02864148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008744703,"threshold_uncertainty_score":0.02925402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083208519977615,"score_gpt":0.2559215382858238,"score_spread":0.2350894530860476,"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."}}