IDEAS home Printed from https://ideas.repec.org/a/spr/trosos/v19y2025i2d10.1007_s12626-025-00188-4.html
   My bibliography  Save this article

A Non-Cooperative Model of Network Formation with Endogenous Link Strength

Author

Listed:
  • Anurag Kakkar

    (University of Delhi)

Abstract

In this paper, we study the formation of non-cooperative networks where agents have the discretion to choose with whom to connect as well as decide the level of investment in their connections. We specifically analyze the case of two-way flow networks where the link between any two agents can be formed by only one of them whereas the benefit from this link accrues to both the agents. Also, agents are assumed to have a constraint on the amount of resources that they can allocate across links. In the baseline model, the link strength takes the form of a concave function of individual investments, and agents prefer the most reliable path that maximizes the product of link strengths. Using Nash equilibrium as stability and aggregate benefit maximizing as the efficiency concept, we show that a specific type of flower network emerges as uniquely efficient as well as a Nash network. Further, by generalizing the value of paths connecting agents, other networks are also found to be Nash but the efficient architecture still takes form of the same flower type network, in line with the base model.

Suggested Citation

  • Anurag Kakkar, 2025. "A Non-Cooperative Model of Network Formation with Endogenous Link Strength," The Review of Socionetwork Strategies, Springer, vol. 19(2), pages 237-253, October.
  • Handle: RePEc:spr:trosos:v:19:y:2025:i:2:d:10.1007_s12626-025-00188-4
    DOI: 10.1007/s12626-025-00188-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12626-025-00188-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12626-025-00188-4?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

    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:trosos:v:19:y:2025:i:2:d:10.1007_s12626-025-00188-4. 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.