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The robustness of interdependent clustered networks

Author： Huang Xuqing Shao Shuai Wang Huijuan Buldyrev Sergey V. Eugene Stanley H. Havlin Shlomo

Publisher： Edp Sciences

E-ISSN： 1286-4854|101|1|18002-18002

ISSN： 0295-5075

Source： EPL (EUROPHYSICS LETTERS), Vol.101, Iss.1, 2013-01, pp. : 18002-18002

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract

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 p_c in interdependent networks.

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