{"id":"W4389914549","doi":"10.32920/24625164.v1","title":"Community Analysis of Networks of Twitter Keywords","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Computer science; Parsing; World Wide Web; Internet privacy; Social network analysis; Social network (sociolinguistics); Artificial intelligence","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":[0.001244572,0.0003488478,0.000371317,0.005177492,0.0008910231,0.001276668,0.0006330449,0.0004877355,0.002245644],"category_scores_gemma":[0.00909795,0.0002322938,0.0005239267,0.002674255,0.0005673692,0.002048477,0.001080755,0.0004563659,0.0004873991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196868,"about_ca_system_score_gemma":0.0003908844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004462983,"about_ca_topic_score_gemma":0.003835559,"domain_scores_codex":[0.9989966,0.000326767,0.00005240078,0.0002344832,0.0002614151,0.000128387],"domain_scores_gemma":[0.9954265,0.002179356,0.0007334422,0.0004066941,0.000935075,0.000319024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001336108,0.0004445431,0.1415738,0.0009468006,0.0007373437,0.00163996,0.006243852,0.2094886,0.03705988,0.2997876,0.02305155,0.27769],"study_design_scores_gemma":[0.00003981791,0.00008446238,0.02560491,0.00005742032,0.00006283072,0.0003426329,0.001331583,0.8704303,0.004685739,0.08584263,0.01147768,0.00004013056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5356011,0.000859766,0.4471337,0.0007611964,0.00009891963,0.0003813491,0.003242324,0.0009656363,0.01095602],"genre_scores_gemma":[0.9495623,0.0001857014,0.04479617,0.00004169048,0.00006251348,0.0001849465,0.001811763,0.00006488649,0.003290069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005177492,"threshold_uncertainty_score":0.008873999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06624995312519918,"score_gpt":0.3349114581515234,"score_spread":0.2686615050263242,"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."}}