{"id":"W4309259885","doi":"10.1142/s0219525922500102","title":"BENCHMARKING THE INFLUENTIAL NODES IN COMPLEX NETWORKS","year":2022,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Benchmarking; Heuristics; Benchmark (surveying); Computer science; Set (abstract data type); Variety (cybernetics); Resilience (materials science); Complex network; Machine learning; Data mining; Artificial intelligence; Marketing","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":[0.005027941,0.001271426,0.00103224,0.004920115,0.0009861205,0.001625886,0.001245965,0.001010054,0.00127858],"category_scores_gemma":[0.03144281,0.000378709,0.0007872052,0.002339246,0.001411832,0.00265687,0.001435401,0.0009387106,0.0003731376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205721,"about_ca_system_score_gemma":0.0008524159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537568,"about_ca_topic_score_gemma":0.00406677,"domain_scores_codex":[0.9976279,0.001054881,0.00012416,0.000475111,0.0005169111,0.0002011205],"domain_scores_gemma":[0.9797733,0.01487608,0.001393312,0.001684436,0.001710091,0.0005629546],"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":[0.0004383413,0.0001721476,0.03081428,0.0007468828,0.0003042256,0.0003225398,0.0007113765,0.8385631,0.007720321,0.02259183,0.003271508,0.09434342],"study_design_scores_gemma":[0.00002593228,0.0001542573,0.004875874,0.00008522133,0.00007378027,0.0002314533,0.0003562472,0.9546905,0.01131076,0.02590622,0.002247689,0.00004214965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493959,0.002660051,0.3362719,0.0006430392,0.0001808202,0.0002694964,0.00081316,0.001568617,0.008196906],"genre_scores_gemma":[0.9298206,0.0004061881,0.06826407,0.00005671273,0.00002953716,0.00007290272,0.000650393,0.000131935,0.0005677269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005027941,"threshold_uncertainty_score":0.02659059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673818366659546,"score_gpt":0.2870244948325332,"score_spread":0.2702863111659378,"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."}}