{"id":"W2036260158","doi":"10.1504/ijwbc.2007.014243","title":"Identifying communities in blogs: roles for social network analysis and survey instruments","year":2007,"lang":"en","type":"article","venue":"International Journal of Web Based Communities","topic":"Social Media and Politics","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social network analysis; Computer science; Data science; Sociology; Psychology; World Wide Web; Social media","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003862685,0.00009311004,0.0002672925,0.0005887626,0.0005094458,0.0001904043,0.000639458,0.00009524135,0.00004597009],"category_scores_gemma":[0.0002712869,0.0001000719,0.0001444468,0.0003216315,0.0004524498,0.0002469704,0.00006982419,0.0002972777,3.668804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813972,"about_ca_system_score_gemma":0.0002472534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01902761,"about_ca_topic_score_gemma":0.2866084,"domain_scores_codex":[0.997847,0.0008340197,0.000495981,0.00003600599,0.0005091742,0.0002778269],"domain_scores_gemma":[0.9956548,0.003191074,0.0003495165,0.00007216862,0.000660727,0.00007177377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001602829,0.000067728,0.9285847,0.00000586109,0.0004410654,0.00000425246,0.06037899,0.00007720759,0.000005848493,0.005944209,0.0001609316,0.004168952],"study_design_scores_gemma":[0.002241057,0.00009062968,0.4747066,0.0001747841,0.0002348925,0.000002945429,0.4990507,0.0006224242,0.00007413536,0.01244281,0.01009611,0.000262917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961697,0.0001793292,0.001216537,0.0007222093,0.0008465389,0.00007021054,0.00005877305,0.000009626203,0.0007270199],"genre_scores_gemma":[0.997784,0.0002363213,0.0007636684,0.0004680823,0.0006589065,0.00000332239,0.00005111038,0.000008292574,0.0000262995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4538781,"threshold_uncertainty_score":0.9875048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08668362696656123,"score_gpt":0.3901201116361639,"score_spread":0.3034364846696027,"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."}}