{"id":"W4408564346","doi":"10.1109/tcss.2025.3547120","title":"Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Mechanism (biology); Link (geometry); Computer science; Cognition; Cognitive psychology; Artificial intelligence; Cognitive science; Neuroscience; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001526786,0.0007704168,0.0005950715,0.003118726,0.0004946614,0.001012604,0.0009816412,0.0008468062,0.0006971433],"category_scores_gemma":[0.008153992,0.0003242525,0.0006773947,0.001691268,0.0004229231,0.002148118,0.0008110575,0.0008613454,0.0002244964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008165027,"about_ca_system_score_gemma":0.0004988917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061412,"about_ca_topic_score_gemma":0.01201312,"domain_scores_codex":[0.9994674,0.0001462964,0.00003081735,0.0002101738,0.00008689868,0.00005840386],"domain_scores_gemma":[0.9959805,0.002481544,0.0007838431,0.0002677192,0.0003282001,0.0001581712],"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":[0.0004661347,0.0002749856,0.06981773,0.0001792763,0.0003372862,0.0002783878,0.0003662203,0.7821651,0.003127489,0.008837819,0.001578401,0.1325713],"study_design_scores_gemma":[0.000003871186,0.00001718566,0.002345445,0.000005897367,0.00001542102,0.00001884681,0.00001815247,0.9936607,0.0003798344,0.003399851,0.0001303103,0.000004520884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6074893,0.001014075,0.387381,0.0003819579,0.00007078311,0.00007410526,0.0007297499,0.0007254649,0.002133608],"genre_scores_gemma":[0.9772037,0.0001600142,0.0216715,0.00002485803,0.00003929376,0.00003483556,0.0003763586,0.00001597402,0.0004735634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061412,"threshold_uncertainty_score":0.02110469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270709279443363,"score_gpt":0.2785599652249934,"score_spread":0.2658528724305598,"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."}}