自组织临界性

B. Lesieutre
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引用次数: 27

摘要

具有自组织临界性(SOC)或高度优化容忍度(HOT)特征的复杂系统表现出各种规模的事件,通常以重尾分布描述发生频率。一些大型物理系统,如电网,其故障统计与SOC和HOT系统的事件统计一致。这表明,大规模的故障不是异常现象,而应被视为罕见的戏剧性事件。这篇论文探讨了大型网络中表征复杂行为的网络模型和属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-organizing criticality
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.
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