Robustness of a Network of Networks

Jianxi Gao, Sergey V. Buldyrev, Shlomo Havlin, and H. Eugene Stanley
Phys. Rev. Lett. 107, 195701 – Published 4 November 2011

Abstract

Network research has been focused on studying the properties of a single isolated network, which rarely exists. We develop a general analytical framework for studying percolation of n interdependent networks. We illustrate our analytical solutions for three examples: (i) For any tree of n fully dependent Erdős-Rényi (ER) networks, each of average degree k¯, we find that the giant component is P=p[1exp(k¯P)]n where 1p is the initial fraction of removed nodes. This general result coincides for n=1 with the known second-order phase transition for a single network. For any n>1 cascading failures occur and the percolation becomes an abrupt first-order transition. (ii) For a starlike network of n partially interdependent ER networks, P depends also on the topology—in contrast to case (i). (iii) For a looplike network formed by n partially dependent ER networks, P is independent of n.

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  • Received 24 February 2011

DOI:https://doi.org/10.1103/PhysRevLett.107.195701

© 2011 American Physical Society

Authors & Affiliations

Jianxi Gao1,2, Sergey V. Buldyrev3, Shlomo Havlin4, and H. Eugene Stanley1

  • 1Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215 USA
  • 2Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
  • 3Department of Physics, Yeshiva University, New York, New York 10033 USA
  • 4Minerva Center and Department of Physics, Bar-Ilan University, 52900 Ramat-Gan, Israel

See Also

Percolation Transitions Are Not Always Sharpened by Making Networks Interdependent

Seung-Woo Son, Peter Grassberger, and Maya Paczuski
Phys. Rev. Lett. 107, 195702 (2011)

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Vol. 107, Iss. 19 — 4 November 2011

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