{"title":"Self-organizing criticality","authors":"B. Lesieutre","doi":"10.1109/HICSS.2002.993974","DOIUrl":null,"url":null,"abstract":"Complex Systems with characteristics of Self-Organizing Criticality (SOC) or HighlyOptimized Tolerance (HOT) exhibit events of all sizes, typically with a frequency of occurence described by a heavy-tailed distribution. Some large physical systems, such as the electric power grid, have failure statistics consistent with event statistics of SOC and HOT systems. This suggests that large-scale failures are not anomalies but should be expected as infrequent, dramatic events. The papers in this minitrack examine network models and properties that characterize complex behavior in large networks.","PeriodicalId":366006,"journal":{"name":"Proceedings of the 35th Annual Hawaii International Conference on System Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 35th Annual Hawaii International Conference on System Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.2002.993974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
Complex Systems with characteristics of Self-Organizing Criticality (SOC) or HighlyOptimized Tolerance (HOT) exhibit events of all sizes, typically with a frequency of occurence described by a heavy-tailed distribution. Some large physical systems, such as the electric power grid, have failure statistics consistent with event statistics of SOC and HOT systems. This suggests that large-scale failures are not anomalies but should be expected as infrequent, dramatic events. The papers in this minitrack examine network models and properties that characterize complex behavior in large networks.