弹性(材料科学)
GSM演进的增强数据速率
节点(物理)
度量(数据仓库)
计算机科学
功能(生物学)
可靠性工程
数据挖掘
工程类
人工智能
结构工程
进化生物学
生物
热力学
物理
作者
Chao Zhang,Xiaojun Xu,Hongyan Dui
标识
DOI:10.1016/j.ress.2020.107035
摘要
This paper explores and analyzes resilience measures in network systems from different perspectives, which is beneficial to maintain the function of the whole networks. Few papers study resilience by using intermediate indicators. They straightly correlate resilience with basic entities, ignoring the modularized impact. Furthermore, some literatures do not further explain how nodes and edges play different roles in affecting network resilience. In this paper, resilience measures are proposed from perspective of various network-related elements, including the node and edge indicators in the network system. Through analyzing the characteristics of nodes and edges during failure, the matrices of node resilience and edge resilience are structured. Then, by processing and iterating two types of matrices, the resilience of the entire network is measured. The effect of node resilience and edge resilience on the network system is discussed. Our results show that node-related and edge-related indicators are both suitable to measure local stability. Besides, nodes always have a greater influence on network resilience than edges. Finally, a numerical example is given to verify the rationality of the proposed measures.
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