稳健性(进化)
计算机科学
弹性(材料科学)
分布式计算
级联故障
复杂网络
网格
相互依存的网络
心理弹性
背景(考古学)
互联网
电力系统
地理
心理学
大地测量学
心理治疗师
考古
量子力学
万维网
基因
热力学
生物化学
化学
物理
功率(物理)
作者
Alain Barrat,Marc Barthélemy,Alessandro Vespignani
出处
期刊:Cambridge University Press eBooks
[Cambridge University Press]
日期:2008-10-23
卷期号:: 116-135
被引量:2
标识
DOI:10.1017/cbo9780511791383.007
摘要
The large-scale collapses of the electric distribution grid or internet outages have shown that the stability of complex networks is a problem of crucial importance. The protection of critical infrastructures or the elaboration of efficient reaction strategies all rely on the identification of crucial (or weak) elements of the network and on the understanding of the progressive damage caused by successive removals or failures of nodes. In this context, it has been observed that complex network models usually display great stability even if they are confronted by a large number of repeated small failures, while at the same time major damage can be triggered, unpredictably, by apparently small shocks. This is also consistent with empirical experience in which unexpected, small perturbations may sometimes trigger large systemic failures.
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