{"id":"W4403694688","doi":"10.18280/ria.380501","title":"Clustering-Based: Assessing the Impact of Overlapping Nodes and Centrality Measures on Influencer Detection in Social Networks","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Centrality; Cluster analysis; Data mining; Social network analysis; Computer science; Cluster (spacecraft); Artificial intelligence; Social media; Statistics; Mathematics; Computer network; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006731716,0.001444634,0.00129418,0.006598955,0.001033951,0.001709688,0.00207632,0.002175483,0.001192232],"category_scores_gemma":[0.04235,0.0004117608,0.001068073,0.003611525,0.0006572664,0.002372802,0.001345186,0.0007997425,0.0005005849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171107,"about_ca_system_score_gemma":0.0007347629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005867716,"about_ca_topic_score_gemma":0.008530095,"domain_scores_codex":[0.9938394,0.003005613,0.0003601441,0.0009776276,0.001508626,0.0003085091],"domain_scores_gemma":[0.9541341,0.03570093,0.002436235,0.003300551,0.003588268,0.0008398589],"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":[0.003349058,0.00125809,0.2011072,0.001543273,0.003593604,0.0004393121,0.001067618,0.3745384,0.02685366,0.006673329,0.006437719,0.3731388],"study_design_scores_gemma":[0.00005902221,0.0005142947,0.03338704,0.00005215402,0.0003344051,0.0005708117,0.0002167227,0.9509706,0.009875504,0.003110905,0.0008045748,0.0001040012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8032525,0.002522866,0.1855748,0.0002799153,0.0001644119,0.0002765094,0.001699628,0.002541587,0.003687855],"genre_scores_gemma":[0.9483495,0.0001906869,0.04922089,0.00003316604,0.00006374036,0.00005508047,0.001272511,0.0001306354,0.0006837685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006731716,"threshold_uncertainty_score":0.03560114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175764206038703,"score_gpt":0.3471763242508679,"score_spread":0.3054186821904809,"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."}}