Research on invulnerability of the random scale-free network against cascading failure

被引：19

作者：

Yin, Rong-Rong ^{[1
,2
]}

Liu, Bin ^{[1
,2
]}

Liu, Hao-Ran ^{[1
,2
]}

Li, Ya-Qian ^{[3
]}

机构：

[1] Yanshan Univ, Coll Informat Sci & Technol, Qinhuangdao 066004, Hebei, Peoples R China

[2] Yanshan Univ, Key Lab Special Opt Fiber & Opt Fiber Sensing Heb, Qinhuangdao 066004, Hebei, Peoples R China

[3] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2016年 / 444卷

关键词：

Random scale-free network; Cascading failure; Power exponent; Critical threshold; MODEL;

D O I：

10.1016/j.physa.2015.08.017

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The effect of structure parameters of random scale-free network on the network invulnerability for cascading failure is investigated by establishing a cascading failure model of random scale-free network based on node degree and analyzing the effect of node capacity on the cascading failure. The node capacity threshold is thus obtained. Furthermore, the relationship between the threshold of node capacity and the structure parameters of the network (the number of added edges per time slot and the power exponent) is established. The experimental results show that the structure parameters of the network are positively correlated with the network invulnerability for cascading failure. The more the number of added edges at a time and higher the power exponent, the stronger the network invulnerability for cascading failure. (C) 2015 Published by Elsevier B.V.

引用

页码：458 / 465

页数：8

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