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Early fragmentation in the adaptive voter model on directed networks

  • G. Zschaler
  • , G A Boehme
  • , M Seissinger
  • , C Huepe
  • , T Gross

    Research output: Contribution to journal › Article (Academic Journal) › peer-review

    54 Citations (Scopus)

    Abstract

    We consider voter dynamics on a directed adaptive network with fixed out-degree distribution. A transition between an active phase and a fragmented phase is observed. This transition is similar to the undirected case if the networks are sufficiently dense and have a narrow out-degree distribution. However, if a significant number of nodes with low out degree is present, then fragmentation can occur even far below the estimated critical point due to the formation of self-stabilizing structures that nucleate fragmentation. This process may be relevant for fragmentation in current political opinion formation processes.
    Translated title of the contributionEarly fragmentation in the adaptive voter model on directed networks
    Original languageEnglish
    Article number046107
    Number of pages9
    JournalPhysical Review E: Statistical, Nonlinear, and Soft Matter Physics
    Volume85
    DOIs
    Publication statusPublished - 2012

    Research Groups and Themes

    • Engineering Mathematics Research Group

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