IDEAS home Printed from https://ideas.repec.org/a/eee/eecrev/v172y2025ics0014292125000017.html
   My bibliography  Save this article

The Key Class in Networks

Author

Listed:
  • Allouch, Nizar
  • Bhattacharya, Jayeeta

Abstract

This paper examines optimal targeting of multiple network players from a new perspective, focusing on classes of players holding similar network positions – and thus fulfilling similar network roles – as captured by the graph theoretic notion of equitable partition. Unlike existing centrality measures, we show that analysing the network game with local payoff complementarities under symmetry brings out new insights about the relative influence of classes of similarly positioned network players on the Nash equilibrium activity. Our analysis introduces two novel class-based centrality measures with broad theoretical and empirical applicability that geometrically characterise the key class whose removal results in the maximal reduction of aggregate and per-capita network activity, respectively.

Suggested Citation

  • Allouch, Nizar & Bhattacharya, Jayeeta, 2025. "The Key Class in Networks," European Economic Review, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:eecrev:v:172:y:2025:i:c:s0014292125000017
    DOI: 10.1016/j.euroecorev.2025.104950
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0014292125000017
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.euroecorev.2025.104950?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

    Keywords

    Social and economic networks; Network games; Equitable partition; Centrality measures; Network symmetry;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    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:eee:eecrev:v:172:y:2025:i:c:s0014292125000017. 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: http://www.elsevier.com/locate/eer .

    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.