Majority-vote dynamics on multiplex networks with two layers

Jeehye Choi, K. I. Goh

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)

    Abstract

    Majority-vote model is a much-studied model for social opinion dynamics of two competing opinions. With the recent appreciation that our social network comprises a variety of different 'layers' forming a multiplex network, a natural question arises on how such multiplex interactions affect the social opinion dynamics and consensus formation. Here, the majority-vote processes will be studied on multiplex networks with two layers to understand the effect of multiplexity on opinion dynamics. We will discuss how global consensus is reached by different types of voters: AND- and OR-rule voters on multiplex-network and voters on single-network system. The AND-model reaches the largest consensus below the critical noise parameter q c. It needs, however, much longer time to reach consensus than other models. In the vicinity of the transition point, the consensus collapses abruptly. The OR-model attains smaller level of consensus than the AND-rule but reaches the consensus more quickly. Its consensus transition is continuous. The numerical simulation results are supported qualitatively by analytical calculations based on the approximate master equation.

    Original languageEnglish
    Article number035005
    JournalNew Journal of Physics
    Volume21
    Issue number3
    DOIs
    Publication statusPublished - 2019 Mar 19

    Bibliographical note

    Publisher Copyright:
    © 2019 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft.

    Keywords

    • majority-vote process
    • multiplex network
    • social consensus dynamics

    ASJC Scopus subject areas

    • General Physics and Astronomy

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