IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v496y2025ics0096300325000918.html
   My bibliography  Save this article

Evolutionary games for cooperation in open data management

Author

Listed:
  • Benko, Tina P.
  • Pi, Bin
  • Li, Qin
  • Feng, Minyu
  • Perc, Matjaž
  • Blažun Vošner, Helena

Abstract

In the era of big data, open data has become a critical factor in production. To establish a stable and long-term open data management mechanism, we investigate the evolution of cooperative behaviors in open data management based on networked evolutionary games, where complex networks are used to model the interaction structure between open data managers and game theory is employed to illustrate the social dilemmas faced by these managers. In addition, we account for the dynamic nature of social dilemmas in the interactions between managers, recognizing that the dilemmas they encounter are not static but rather evolve over time. To model this, we use different game models to represent various social dilemmas and propose social dilemma transitions to capture the evolving dilemmas faced between open data managers. In our simulations, we explore how payoff parameters and transition rates influence the emergence and sustainability of cooperation across different population structures, finding that both factors play a significant role in the evolution of cooperation. Furthermore, the cooperative evolution dynamics is analyzed on a square lattice network with periodic boundaries from a microscopic perspective. We also study the influence of different patterns of social dilemma transition on the evolution of cooperation. The findings presented in this paper may offer valuable insights for open data managers, helping them make informed decisions, and fostering the evolution of cooperation within open data management systems.

Suggested Citation

  • Benko, Tina P. & Pi, Bin & Li, Qin & Feng, Minyu & Perc, Matjaž & Blažun Vošner, Helena, 2025. "Evolutionary games for cooperation in open data management," Applied Mathematics and Computation, Elsevier, vol. 496(C).
  • Handle: RePEc:eee:apmaco:v:496:y:2025:i:c:s0096300325000918
    DOI: 10.1016/j.amc.2025.129364
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325000918
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129364?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:496:y:2025:i:c:s0096300325000918. 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.