4.6 Article

Robustness of network of networks with interdependent and interconnected links

期刊

出版社

ELSEVIER
DOI: 10.1016/j.physa.2014.12.019

关键词

Robustness; Interacting network; Network of networks

资金

  1. National Natural Science Foundation of China [61403171, 71403105, 11305042, 61403114, 71303095, 71273119, 71473108, 51276081]
  2. National Social Science Foundation of China [12ZD062]
  3. National Natural Science Foundation of Jiangsu Province [BK20140569, BK20130535, 14KJB120001, 14KJA110001, 13KJB120001]
  4. China Postdoctoral Science Foundation [2013M540493]
  5. Jiangsu Postdoctoral Science Foundation [1402077B]
  6. Senior talents Foundation of Jiangsu University [14JDG143, 14JDG144]

向作者/读者索取更多资源

Robustness of network of networks (NON) has been studied only for dependency coupling (Gao et al., 2012) and only for connectivity coupling (Leicht and Souza, arxiv:0907.0894). The case of network of networks with both interdependent and interconnected links is more complicated, and also more close to real-life coupled network systems. Understanding the robustness of NON with interdependent and interconnected links is helpful to design resilient infrastructures. Here we develop a framework to study analytically and numerically the robustness of this system with no-feedback and feedback conditions for the case of starlike NON. When assumed that all degree distributions of the connectivity intra- and inter-links are Poissonian, we find that the system undergoes from second order through hybrid order to first order phase transition as coupling strength q increases. Additionally, for both conditions, the results suggest that increasing density of connectivity links (intra-connectivity links or inter-connectivity links) can increase the robustness of the system, while the interdependency links decrease its robustness. Furthermore, by comparing critical attacking strength under same parameters for both conditions, we also find that feedback condition of dependency links, in contrast to no-feedback condition, makes the system extremely vulnerable. Although our detailed analysis is for Poisson degree distribution, the theory can be applied to any degree distribution and other basic topological structure of network such like tree-like and loop-like NON. (C) 2015 Elsevier B.V. All rights reserved.

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