级联故障
相互依存的网络
相互依存
稳健性(进化)
计算机科学
多样性(控制论)
分布式计算
动力系统理论
复杂网络
风险分析(工程)
复杂系统
理论计算机科学
拓扑(电路)
工程类
人工智能
业务
生物
物理
电力系统
量子力学
生物化学
万维网
电气工程
政治学
功率(物理)
基因
法学
作者
Dong-Li Duan,Changchun Lv,Shubin Si,Zhen Wang,Daqing Li,Jianxi Gao,Shlomo Havlin,H. Eugene Stanley,Stefano Boccaletti
标识
DOI:10.1073/pnas.1904421116
摘要
Significance Catastrophic events affecting technological or critical infrastructures are often originated by a cascading failure triggered by marginal perturbations, which are on their turn localized in one of the many interdependent graphs describing the systems. Understanding the robustness of these graphs is therefore of utmost importance for preventing crashes and/or for engineering more efficient and stalwart networked systems. Here we give a fresh framework by means of which cascading failures can be described in a very rich variety of dynamical models and/or topological network structures and which provides a series of quantitative answers able to predict the extent of the system’s failure.
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