{"id":"W2160280191","doi":"10.1109/tpds.2014.2342740","title":"Small Cluster in Cyber Physical Systems: Network Topology, Interdependence and Cascading Failures","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Interdependent networks; Cascading failure; Computer science; Giant component; Network topology; Small-world network; Component (thermodynamics); Generality; Cluster (spacecraft); Distributed computing; Topology (electrical circuits); Metric (unit); Fraction (chemistry); Complex network; Upper and lower bounds; Connected component; Percolation (cognitive psychology); Computer network; Random graph; Theoretical computer science; Mathematics; Physics; Graph; Electric power system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005964445,0.0005489878,0.0004469563,0.001352951,0.0007107946,0.001139145,0.0007914071,0.0007142369,0.001180694],"category_scores_gemma":[0.003947665,0.0002744026,0.0004188494,0.001386,0.001453951,0.002521604,0.001010234,0.0007459636,0.0001285772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010983,"about_ca_system_score_gemma":0.000446219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579627,"about_ca_topic_score_gemma":0.002739166,"domain_scores_codex":[0.9995385,0.0001716915,0.00001752422,0.0001124338,0.000106372,0.00005345482],"domain_scores_gemma":[0.9977205,0.0012078,0.0004737341,0.0002245006,0.0002159003,0.0001575916],"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":[0.0001355476,0.00007600645,0.01814542,0.0003293588,0.0001360649,0.0008781217,0.0006818306,0.8350671,0.007267711,0.108134,0.002387657,0.02676106],"study_design_scores_gemma":[0.00001239574,0.0001091025,0.01029319,0.00004808025,0.00007608993,0.0005973332,0.000453622,0.8788648,0.001852607,0.1042108,0.003432034,0.00004996542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5732549,0.006104274,0.4067164,0.001368846,0.0001031089,0.0001166383,0.0002661061,0.0003798007,0.01169],"genre_scores_gemma":[0.9909915,0.001222368,0.006695651,0.00004471551,0.00003711591,0.000039183,0.00006565637,0.00002339557,0.0008804852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003579627,"threshold_uncertainty_score":0.007335246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464613176780329,"score_gpt":0.2459738236110716,"score_spread":0.2313276918432683,"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."}}