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Link overlap, viability, and mutual percolation in multiplex networks

  • Byungjoon Min
  • , Sangchul Lee
  • , Kyu Min Lee
  • , K. I. Goh*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Many real-world complex systems are best modeled by multiplex networks. The multiplexity has proved to have broad impact on the system's structure and function. Most theoretical studies on multiplex networks to date, however, have largely ignored the effect of the link overlap across layers despite strong empirical evidences for its significance. In this article, we investigate the effect of the link overlap in the viability of multiplex networks, both analytically and numerically. After a short recap of the original multiplex viability study, the distinctive role of overlapping links in viability and mutual connectivity is emphasized and exploited for setting up a proper analytic framework. A rich phase diagram for viability is obtained and greatly diversified patterns of hysteretic behavior in viability are observed in the presence of link overlap. Mutual percolation with link overlap is revisited as a limit of multiplex viability problem, and the controversy between existing results is clarified. The distinctive role of overlapping links is further demonstrated by the different responses of networks under random removals of overlapping and non-overlapping links, respectively, as well as under several link-removal strategies. Our results show that the link overlap facilitates the viability and mutual percolation; at the same time, the presence of link overlap poses a challenge in analytical approaches to the problem.

    Original languageEnglish
    Pages (from-to)49-58
    Number of pages10
    JournalChaos, Solitons and Fractals
    Volume72
    DOIs
    Publication statusPublished - 2015 Mar 6

    Bibliographical note

    Publisher Copyright:
    © 2014 Elsevier Ltd. All rights reserved.

    ASJC Scopus subject areas

    • Statistical and Nonlinear Physics
    • General Mathematics
    • General Physics and Astronomy
    • Applied Mathematics

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