{"id":"W2079012599","doi":"10.1109/acc.2012.6315661","title":"Robustness of information diffusion algorithms to locally bounded adversaries","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Bounded function; Computer science; Upper and lower bounds; Network topology; Topology (electrical circuits); Graph; Theoretical computer science; Graph theory; Scale-free network; Property (philosophy); Complex network; Algorithm; Distributed computing; Mathematics; Computer network; Combinatorics","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":[0.003371571,0.000981963,0.001042773,0.001078513,0.0007442331,0.001608027,0.001564524,0.001632261,0.000811088],"category_scores_gemma":[0.02775563,0.0004408409,0.0008952232,0.000792002,0.002733671,0.00266936,0.002199218,0.001289094,0.000261152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337032,"about_ca_system_score_gemma":0.0007145416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878657,"about_ca_topic_score_gemma":0.0006108339,"domain_scores_codex":[0.9977931,0.0008625203,0.0001330314,0.0005324054,0.0004432362,0.0002357843],"domain_scores_gemma":[0.9826199,0.01275698,0.001993294,0.001368334,0.000854146,0.00040719],"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":[0.0001350165,0.00002795697,0.0007438283,0.00007136605,0.00008476552,0.000149624,0.0001306659,0.9251737,0.005133725,0.05684144,0.0003609261,0.01114702],"study_design_scores_gemma":[0.0000133272,0.00003848487,0.0001045453,0.000005008354,0.00001116224,0.00002735085,0.00001597036,0.9724662,0.00105054,0.02602607,0.0002328168,0.000008555208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09597953,0.0004374264,0.8986037,0.0006199894,0.00004903683,0.00006229742,0.00005449984,0.0004435849,0.00374979],"genre_scores_gemma":[0.9664748,0.0004176487,0.03129181,0.0001043673,0.00005520299,0.0000829405,0.00006475423,0.00007380624,0.001434756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003371571,"threshold_uncertainty_score":0.01783079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120254255454617,"score_gpt":0.2280251885207911,"score_spread":0.2168226459662449,"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."}}