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Structural Vulnerability of Complex Networks Under Multiple Edge-Based Attacks

机译：多种基于边缘的攻击下复杂网络的结构漏洞

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摘要

We investigate the structural vulnerability of complex networks under different edge-based attacks. The attacks are induced by removing a certain ratio of edges according to four kinds of weighting methods strategies introduced, which also can describe the characteristics of links. Two metrics (the relative size of the giant component in network, the average length of shortest path) are measured. The simulations demonstrate that, the edges with higher product of betweenness centrality of the two endpoints of one edge connected are more important for SF network, ER random network, autonomous system network(AS), Italy power grid and US airport networks, but the edges with higher edge betweenness centrality are more important for WS networks. Moreover, the edges with higher edge betweenness centrality for SF network and those with higher k-shell index for AS networks are also important. The findings highlight the identification of structural key links for protecting real-world networks.
机译：我们研究了基于不同边缘攻击的复杂网络的结构脆弱性。根据引入的四种加权方法策略，通过去除一定比例的边缘来引发攻击，这些策略也可以描述链接的特征。测量了两个指标（网络中巨型组件的相对大小，最短路径的平均长度）。仿真表明，对于SF网络，ER随机网络，自治系统网络（AS），意大利电网和美国机场网络，连接的一个边缘的两个端点之间的中间中心度乘积较高的边缘更为重要，但是这些边缘对于WS网络，边缘中间性更高的中心性更为重要。而且，对于SF网络，具有较高边缘中间性的边缘以及对于AS网络具有较高k-shell指数的边缘也很重要。这些发现强调了对保护现实世界网络的结构性关键链接的识别。

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