{"id":"W4378420295","doi":"10.1007/978-3-031-33743-7_1","title":"Community Opinion Network Maximization for Mining Top K Seed Social Network Users","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Maximization; Construct (python library); Social network (sociolinguistics); Sentiment analysis; Public opinion; Graph; Data mining; Artificial intelligence; World Wide Web; Mathematics; Theoretical computer science; Social media; Mathematical optimization; Political science; Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00168623,0.0004815669,0.0009140406,0.000183055,0.0008652845,0.0005521518,0.0006240839,0.0007994795,0.000004193862],"category_scores_gemma":[0.00004621603,0.0004675917,0.0002463813,0.000378101,0.00005944039,0.0001435703,0.0003499844,0.0007443922,0.000002761239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008623221,"about_ca_system_score_gemma":0.00004270967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007106461,"about_ca_topic_score_gemma":0.0002009136,"domain_scores_codex":[0.9973828,0.0002580173,0.0007981057,0.0005968443,0.000319126,0.0006451284],"domain_scores_gemma":[0.9974915,0.001186107,0.0005968525,0.0005151732,0.0001205034,0.00008985204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002416933,0.000007413294,0.001503904,0.0001217553,0.000182307,0.000003554987,0.0007478727,0.9410433,2.8683e-7,0.03752352,0.00582291,0.01301904],"study_design_scores_gemma":[0.0004608689,0.00008561708,0.0003768976,0.001068331,0.00005385368,0.000005066348,0.00002702286,0.9688556,1.554108e-7,0.009548183,0.01895264,0.0005657522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00005135098,0.004756812,0.9858096,0.0003174832,0.005580529,0.000763492,0.000007271551,0.0001993817,0.002514113],"genre_scores_gemma":[0.7307937,0.01144545,0.06486373,0.004983251,0.1106586,0.00102623,0.007610426,0.001640016,0.06697862],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9209458,"threshold_uncertainty_score":0.9997776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358713543604506,"score_gpt":0.2681043933694471,"score_spread":0.224517257933402,"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."}}