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Resilience-based component importance measures for complex networks

机译:基于弹性的复杂网络组件重要性衡量

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In the design and allocation of resilience for complex networks, both the resilient characteristics and the locations of constituent components can affect the overall resilience of networks on different levels. Based on the concepts of resilience, this paper proposes the definitions of structure importance, redundancy importance and reinforcement importance, with comprehensive consideration of performance degradation and recovery time. Considering the resilient and plastic behaviors of different levels of complex networks before and after the disruptions, a Monte-Carlo simulation algorithm is also developed to calculate the resilience-based component importance. The results show the feasibility and effectiveness of our importance measures.
机译:在设计和分配复杂网络的弹性时,弹性特性和组成组件的位置都会影响不同级别网络的整体弹性。在弹性概念的基础上,综合考虑性能下降和恢复时间,提出了结构重要性,冗余重要性和加固重要性的定义。考虑到破坏前后不同级别的复杂网络的弹性和塑性行为,还开发了蒙特卡洛仿真算法来计算基于弹性的组件重要性。结果表明了我们重要措施的可行性和有效性。

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