{"id":"W2005498212","doi":"10.1287/orsc.1100.0600","title":"Network Exchange Patterns in Online Communities","year":2010,"lang":"en","type":"article","venue":"Organization Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":346,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fox School of Business, Temple University; Canada Research Chairs","keywords":"Reciprocity (cultural anthropology); Exponential random graph models; Online participation; Social exchange theory; Online community; Preferential attachment; Information exchange; Norm of reciprocity; Scale (ratio); Complex network; The Internet; Computer science; Social psychology; Sociology; Psychology; Graph; Social capital; World Wide Web; Random graph; Theoretical computer science; Geography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002382612,0.0001292618,0.0002824786,0.00242088,0.0007002382,0.001098658,0.0004239864,0.000493817,0.001186171],"category_scores_gemma":[0.02212929,0.000208474,0.0002654998,0.001683681,0.00104548,0.002345191,0.001056451,0.00036428,0.0001600952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006722314,"about_ca_system_score_gemma":0.0003234692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567657,"about_ca_topic_score_gemma":0.002168762,"domain_scores_codex":[0.9980406,0.0009935234,0.0001119072,0.0004208878,0.0003011517,0.0001319495],"domain_scores_gemma":[0.9832689,0.0102363,0.003355231,0.001253761,0.001383377,0.0005024141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005610359,0.0003932393,0.7665378,0.0003698131,0.0003444158,0.0005633525,0.0194848,0.0249621,0.01457185,0.06405736,0.001368043,0.1067862],"study_design_scores_gemma":[0.00006657647,0.0002795596,0.7218021,0.00008950381,0.0001125165,0.001216687,0.009316857,0.154676,0.00357742,0.1035116,0.005248883,0.0001023574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842603,0.0001092378,0.01362376,0.0001030748,0.000002673657,0.00004548202,0.0001128334,0.00004015907,0.0017025],"genre_scores_gemma":[0.9969235,0.00002711114,0.002692571,0.000007694012,0.000002027563,0.00003101668,0.0000863992,0.000004736695,0.0002247947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00242088,"threshold_uncertainty_score":0.0126006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147539972098864,"score_gpt":0.2711749183502127,"score_spread":0.2564209211403263,"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."}}