The robustness of interdependent clustered networks
Physics and Society
2013-03-11 v2 Social and Information Networks
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 in interdependent networks.
Cite
@article{arxiv.1205.3188,
title = {The robustness of interdependent clustered networks},
author = {Xuqing Huang and Shuai Shao and Huijuan Wang and Sergey V. Buldyrev and Shlomo Havlin and H. Eugene Stanley},
journal= {arXiv preprint arXiv:1205.3188},
year = {2013}
}
Comments
6 pages, 6 figures