{"id":"W2143940456","doi":"10.1145/2488388.2488439","title":"Organizational overlap on social networks and its applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Social network (sociolinguistics); Organizational network analysis; Connection (principal bundle); Data science; Face (sociological concept); Enhanced Data Rates for GSM Evolution; Social network analysis; World Wide Web; Knowledge management; Social media; Artificial intelligence; Organizational learning","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002155931,0.0000639318,0.0000720626,0.00002249932,0.0001389891,0.00004625287,0.00005984379,0.00001805986,0.003571817],"category_scores_gemma":[6.004914e-7,0.0000581081,0.00002546614,0.0001551608,0.00001241055,0.00004681045,0.00003848431,0.00005584077,0.0001063767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006713285,"about_ca_system_score_gemma":0.000006493699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002738824,"about_ca_topic_score_gemma":0.000001069161,"domain_scores_codex":[0.9996316,0.00000982035,0.00008583438,0.0001200196,0.00006041572,0.00009231885],"domain_scores_gemma":[0.9997715,0.00003403686,0.00003112495,0.00006638274,0.00006595702,0.00003096457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.939816e-7,0.00004750883,0.01130271,7.050051e-7,0.00003166873,1.231732e-8,0.00001056787,0.00008436812,0.0000868447,0.9596599,0.01591751,0.0128577],"study_design_scores_gemma":[0.0009285627,0.00007655134,0.1400558,0.00001759676,0.0001567463,9.268529e-7,0.0003690421,0.3078183,0.001835131,0.4840592,0.06337177,0.001310482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1221201,0.00007995164,0.6040778,0.001929916,0.00003718152,0.001192032,0.00001354428,0.0004157097,0.2701338],"genre_scores_gemma":[0.9978821,0.000001700223,0.0003886087,0.0001363085,0.0004944285,0.00009793767,0.00004839067,0.000008644693,0.0009419222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8757619,"threshold_uncertainty_score":0.9973391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960841445975208,"score_gpt":0.2428414374828133,"score_spread":0.2332330230230612,"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."}}