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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:上海交通大学
学位:博士
所在单位:系统工程研究所
学科:管理科学与工程
办公地点:经济管理学院大楼
联系方式:0411-84708073
VULNERABILITY OF EFFECTIVE ATTACK ON EDGES IN SCALE-FREE NETWORKS DUE TO CASCADING FAILURES
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论文类型:期刊论文
发表时间:2009-08-01
发表刊物:INTERNATIONAL JOURNAL OF MODERN PHYSICS C
收录刊物:SCIE
卷号:20
期号:8
页面范围:1291-1298
ISSN号:0129-1831
关键字:Cascading failure; critical threshold; tunable parameter; scale free; BA network
摘要:Assume the initial load of an edge ij in a network to be L(ij) = [(k(i) Sigma(a is an element of Gamma i) k(a)) (k(j) Sigma(b is an element of Gamma j) k(b))](alpha) with k(i) and k(j) being the degrees of the nodes connected by the edge, where alpha is a tunable parameter which controls the strength of the edge initial load, and Gamma(i) and Gamma(j) are the sets of neighboring nodes of i and j, respectively. We investigate the cascading phenomenon of uncorrelated scale-free networks subject to two different attacking strategies on edges, i.e. attacking on the edges with the highest loads or the lowest loads (LL). By the critical threshold of edge capacity quantifying the network robustness, we numerically discuss the effects of two attacks for the network vulnerability. Interestingly, it is found that the attack on the edge with the LL is highly effective in disrupting the structure of the attacked network when alpha < 0.5. In the case of alpha = 0.5, the effects of two attacks for the network robustness against cascading failures are almost identical. We furthermore provide the theoretical prediction support for the numerical simulations. These results may be very helpful for real-life networks to protect the key edges selected effectively to avoid cascading-failure-induced disasters.