Group percolation in interdependent networks

Zexun Wang, Dong Zhou, Yanqing Hu

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

In many real network systems, nodes usually cooperate with each other and form groups to enhance their robustness to risks. This motivates us to study an alternative type of percolation, group percolation, in interdependent networks under attack. In this model, nodes belonging to the same group survive or fail together. We develop a theoretical framework for this group percolation and find that the formation of groups can improve the resilience of interdependent networks significantly. However, the percolation transition is always of first order, regardless of the distribution of group sizes. As an application, we map the interdependent networks with intersimilarity structures, which have attracted much attention recently, onto the group percolation and confirm the nonexistence of continuous phase transitions.

Original languageEnglish
Article number032306
JournalPhysical Review E
Volume97
Issue number3
DOIs
StatePublished - 16 Mar 2018
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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