{"id":"W3004683338","doi":"10.5539/nct.v5n1p37","title":"Modelling Malicious Attack in Social Networks","year":2020,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Node (physics); Computer science; Fraction (chemistry); Social network (sociolinguistics); Computer network; Computer security; Unit (ring theory); Evolving networks; Complex network; Internet privacy; Social media; Mathematics; World Wide Web; Engineering","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":[0.001716178,0.0009805093,0.0008580012,0.001663152,0.0008367,0.001791442,0.001348542,0.002328219,0.003904436],"category_scores_gemma":[0.01229024,0.0005787547,0.001017809,0.001155534,0.001258795,0.00276446,0.001611389,0.001352245,0.0006029198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859031,"about_ca_system_score_gemma":0.001072038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723337,"about_ca_topic_score_gemma":0.01122153,"domain_scores_codex":[0.9987942,0.0006136177,0.00004708139,0.0002144842,0.000155764,0.0001749639],"domain_scores_gemma":[0.9908428,0.007077773,0.001011825,0.0002983187,0.0004470026,0.0003223952],"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":[0.00004376535,0.00004382072,0.00361519,0.00005562269,0.00004531785,0.0001967692,0.0002669128,0.9475964,0.0003984954,0.04220509,0.001153974,0.004378703],"study_design_scores_gemma":[0.000007314387,0.00001339966,0.00033042,0.00001070544,0.000006714954,0.0000258688,0.00004772037,0.9871376,0.00005267289,0.01160327,0.0007583087,0.000006134529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4858651,0.001736502,0.4749177,0.004036253,0.0002830132,0.0004082647,0.002166321,0.0007556694,0.02983128],"genre_scores_gemma":[0.955759,0.0009247313,0.03278205,0.000174634,0.000097455,0.0003102363,0.0005094052,0.00009268763,0.009349873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01723337,"threshold_uncertainty_score":0.03426611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015076065452118,"score_gpt":0.2766194489721753,"score_spread":0.2364686883176541,"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."}}