IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v98y2025i3d10.1140_epjb_s10051-025-00900-x.html
   My bibliography  Save this article

Competition between long-range and short-range interactions in the voter model for opinion dynamics

Author

Listed:
  • Jacopo A. Garofalo

    (University of Campania “Luigi Vanvitelli”)

  • Eugenio Lippiello

    (University of Campania “Luigi Vanvitelli”)

  • Fabrizio Rippa

    (University of Campania “Luigi Vanvitelli”)

Abstract

The voter model is a widely used framework in sociophysics to model opinion formation based on local interactions between individuals. In this work, we investigate how the spread of consensus is affected by introducing long-range interactions. Specifically, we study a one-dimensional voter model where a fraction $$\gamma $$ γ of links connect individuals at distances r drawn from a distribution decaying as $$r^{-\sigma -1}$$ r - σ - 1 . Our results reveal that even a small fraction of long-range interactions fundamentally alters the system’s asymptotic behavior. When long-range interactions decay rapidly $$\sigma > 2$$ σ > 2 , their influence is restricted to distances beyond a time-dependent threshold, $$r^*(t)$$ r ∗ ( t ) . For $$r r^*(t)$$ r > r ∗ ( t ) , the correlation function transitions to a power-law decay, $$r^{-\sigma -1}$$ r - σ - 1 , highlighting the capacity of long-range links to propagate consensus across greater distances. When long-range interactions decay more slowly ( $$\sigma

Suggested Citation

  • Jacopo A. Garofalo & Eugenio Lippiello & Fabrizio Rippa, 2025. "Competition between long-range and short-range interactions in the voter model for opinion dynamics," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 98(3), pages 1-11, March.
  • Handle: RePEc:spr:eurphb:v:98:y:2025:i:3:d:10.1140_epjb_s10051-025-00900-x
    DOI: 10.1140/epjb/s10051-025-00900-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/s10051-025-00900-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/s10051-025-00900-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eurphb:v:98:y:2025:i:3:d:10.1140_epjb_s10051-025-00900-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.