The robustness of interdependent clustered networks

被引：91

作者：

Huang, Xuqing ^{[1
,2
]}

Shao, Shuai ^{[1
,2
]}

Wang, Huijuan ^{[1
,2
,3
]}

Buldyrev, Sergey V. ^{[1
,2
,4
]}

Stanley, H. Eugene ^{[1
,2
]}

Havlin, Shlomo ^{[5
]}

机构：

[1] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA

[2] Boston Univ, Dept Phys, Boston, MA 02215 USA

[3] Delft Univ Technol, Fac Elect Engn Math & Comp Sci, NL-2628 CD Delft, Netherlands

[4] Yeshiva Univ, Dept Phys, New York, NY 10033 USA

[5] Bar Ilan Univ, Dept Phys, IL-52900 Ramat Gan, Israel

来源：

EPL | 2013年 / 101卷 / 01期

基金：

美国国家科学基金会; 以色列科学基金会;

关键词：

INFRASTRUCTURES; FAILURES;

D O I：

10.1209/0295-5075/101/18002

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

It was recently found that cascading failures can cause the abrupt breakdown of a system of interdependent networks. Using the percolation method developed for single clustered networks by Newman (Phys. Rev. Lett., 103 (2009) 058701), we develop an analytical method for studying how clustering within the networks of a system of interdependent networks affects the system's robustness. We find that clustering significantly increases the vulnerability of the system, which is represented by the increased value of the percolation threshold pc in interdependent networks. Copyright (C) EPLA, 2013

引用

页数：6

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