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arXiv · 1205.3188

The robustness of interdependent clustered networks

Xuqing Huang·Shuai Shao·Huijuan Wang·Sergey V. Buldyrev·Shlomo Havlin·H. Eugene Stanley
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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. {\bf 103}, 058701 (2009)], 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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Xuqing Huang, Shuai Shao, Huijuan Wang, Sergey V. Buldyrev, Shlomo Havlin, H. Eugene Stanley. 2012-10-17. The robustness of interdependent clustered networks. https://doi.org/10.1209/0295-5075%2F101%2F18002

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