{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09281907,0.0007888903,0.001338275,0.01222496,0.00325981,0.008417903,0.001780484,0.001788088,0.002248952],"category_scores_gemma":[0.2668731,0.0006828666,0.0005001625,0.01420792,0.005890374,0.01893077,0.006233403,0.001811833,0.0004255007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002802668,"about_ca_system_score_gemma":0.003831783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950291,"about_ca_topic_score_gemma":0.004168813,"domain_scores_codex":[0.9223779,0.06631048,0.002159673,0.003014167,0.005377381,0.0007604636],"domain_scores_gemma":[0.5654311,0.3745472,0.02221826,0.01581742,0.01782078,0.004165263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002172885,0.0006620909,0.3055127,0.001824707,0.0002324385,0.0001653016,0.03438449,0.004671228,0.001438077,0.2229752,0.003791587,0.424125],"study_design_scores_gemma":[0.0001374001,0.0007969178,0.1194792,0.003430375,0.0001898557,0.0005208519,0.08163982,0.1303767,0.00254283,0.6191846,0.04133971,0.0003619346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3327045,0.004540169,0.6172623,0.01049384,0.0003239455,0.002514422,0.00146,0.0003237098,0.03037716],"genre_scores_gemma":[0.6924176,0.001294794,0.3000998,0.0005313191,0.0002341709,0.004015863,0.0003859671,0.00007641927,0.0009442074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09281907,"threshold_uncertainty_score":0.49088,"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."}}