IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v502y2025ics0096300325002024.html
   My bibliography  Save this article

Cooperation dynamics of social dilemmas on an opinion-dependent weighted network

Author

Listed:
  • Quan, Ji
  • Tao, Leyao
  • Wang, Xianjia

Abstract

In real society, different individuals have different opinions on a certain issue, and individuals with similar views tend to become close gradually, while individuals with different opinions tend to become distant. Based on this fact, we propose a weighted spatial prisoner's dilemma game model with opinions to explore the impact of link weight change influenced by differences in opinions on the evolution of cooperation. The strength of social relationships is indicated by the link weight which is dynamically updated by the differences in views between individuals. We investigate the effects of changes in the link weight control parameter, tolerance control parameter, and link weight adjustment amplitude on the evolution of cooperation. Through Monte Carlo simulations, we find that a co-evolutionary mechanism of game strategies and link weights influenced by opinions can facilitate the evolution of cooperation. More specifically, cooperation can be favored by an increase in the link weight control parameter, a decrease in the tolerance control parameter, and an increase in link weight adjustment amplitude. Changes in these parameters increase the heterogeneity of the network and therefore facilitate cooperation. These results help us understand how selfish individuals in a social dilemma can adjust their social relationships based on opinion dynamics to facilitate cooperation.

Suggested Citation

  • Quan, Ji & Tao, Leyao & Wang, Xianjia, 2025. "Cooperation dynamics of social dilemmas on an opinion-dependent weighted network," Applied Mathematics and Computation, Elsevier, vol. 502(C).
    • Handle: RePEc:eee:apmaco:v:502:y:2025:i:c:s0096300325002024
    DOI: 10.1016/j.amc.2025.129476
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325002024
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2025.129476?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.

    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:eee:apmaco:v:502:y:2025:i:c:s0096300325002024. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.