Majority-vote dynamics on multiplex networks with two layers

Jeehye Choi, K. I. Goh

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


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
Issue number3
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.


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

ASJC Scopus subject areas

  • General Physics and Astronomy


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