%0 Journal Article
%T The robustness of interdependent clustered networks
%A Xuqing Huang
%A Shuai Shao
%A Huijuan Wang
%A Sergey V. Buldyrev
%A Shlomo Havlin
%A H. Eugene Stanley
%J Computer Science
%D 2012
%I arXiv
%R 10.1209/0295-5075/101/18002
%X 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.
%U http://arxiv.org/abs/1205.3188v2