Structural Robustness of Weighted Complex Networks Based on Natural Connectivity

被引:14
|
作者
Zhang Xiao-Ke [1 ]
Wu Jun [1 ]
Tan Yue-Jin [1 ]
Deng Hong-Zhong [1 ]
Li Yong
机构
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China
基金
美国国家科学基金会;
关键词
SCALE-FREE NETWORKS; ATTACK; INFORMATION; GRAPHS; VULNERABILITY;
D O I
10.1088/0256-307X/30/10/108901
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Natural connectivity has been recently proposed to efficiently characterize the structural robustness of complex networks. The natural connectivity, interpreted as the Helmholtz free energy of a network, can be derived from the graph spectrum. We extend the concept of natural connectivity to weighted complex networks, in which the weight represents the number of multiple edges. We prove that the weighted natural connectivity changes monotonically when the weights are increased or decreased. We investigate the influence of weight on the network robustness within scenarios of weight changing and show that the weighted natural connectivity allows a precise quantitative analysis of the structural robustness for weighted complex networks.
引用
收藏
页数:4
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