IDEAS home Printed from https://ideas.repec.org/p/aoz/wpaper/215.html
   My bibliography  Save this paper

Circular Networks as Efficient Nash Equilibria: two Approaches

Author

Listed:
  • Juan Larrosa

    (Universidad Nacional del Sur/CONICET)

  • Fernando Tohmé

    (Universidad Nacional del Sur/CONICET)

Abstract

The present paper analyzes a network formation problem, and in particular the existence of circular networks that constitute efficient Nash equilibria. We consider two ways in which they may arise as solutions. One in the framework presented by Bala and Goyal. In it an agent receives a payoff which is increasing in the number of agents to which he is directly or indirectly connected, while it is decreasing in the number of agents to whom he is directly connected. The other approach departs from their assumptions in two crucial aspects. On one hand, we assume that connecting to an agent pays off not only for the number of connections that the agent can provide but also for her intrinsic value. On the other hand, we assume that each path connecting two agents has an associated cost which is the sum of the number of edges it includes, and which has to be paid by each agent in the path. In both approaches it is possible to obtain circular networks as efficient Nash equilibria. But, while in Bala and Goyal’s approach this is only one possibility (the other is the empty network), in our alternative approach, if the number of agents is larger than 3, it is the unique result.

Suggested Citation

  • Juan Larrosa & Fernando Tohmé, 2023. "Circular Networks as Efficient Nash Equilibria: two Approaches," Working Papers 215, Red Nacional de Investigadores en Economía (RedNIE).
  • Handle: RePEc:aoz:wpaper:215
    as

    Download full text from publisher

    File URL: https://rednie.eco.unc.edu.ar/files/DT/215.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    2. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Falk Armin & Kosfeld Michael, 2012. "It's all about Connections: Evidence on Network Formation," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-36, September.
    2. Yaron Leitner, 2004. "Financial networks: contagion, commitment, and private sector bailouts," Working Papers 02-9, Federal Reserve Bank of Philadelphia.
    3. Rodrigo J. Harrison & Roberto Munoz, 2003. "Stability and Equilibrium Selection in a Link Formation Game," Game Theory and Information 0306004, University Library of Munich, Germany.
    4. Frank H. Page & Myrna H. Wooders, 2009. "Endogenous Network Dynamics," Working Papers 2009.28, Fondazione Eni Enrico Mattei.
    5. Dev, Pritha, 2014. "Identity and fragmentation in networks," Mathematical Social Sciences, Elsevier, vol. 71(C), pages 86-100.
    6. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    7. Simpson Zhang & Mihaela van der Schaar, 2018. "Reputational Dynamics in Financial Networks During a Crisis," Working Papers 18-03, Office of Financial Research, US Department of the Treasury.
    8. Lorenzo Ductor & Sanjeev Goyal & Anja Prummer, 2018. "Gender & Collaboration," Working Papers 856, Queen Mary University of London, School of Economics and Finance.
    9. Rajgopal Kannan & Lydia Ray & Sudipta Sarangi, 2007. "The structure of information networks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 30(1), pages 119-134, January.
    10. Cilem Selin Hazir & Corinne Autant-Bernard, 2012. "Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology," Working Papers 1212, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    11. Ana Mauleon & Huasheng Song & Vincent Vannetelbosch, 2010. "Networks of Free Trade Agreements among Heterogeneous Countries," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 12(3), pages 471-500, June.
    12. Konno, Tomohiko, 2013. "An imperfect competition on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5453-5460.
    13. Finneran, Lisa & Kelly, Morgan, 2003. "Social networks and inequality," Journal of Urban Economics, Elsevier, vol. 53(2), pages 282-299, March.
    14. Joost Vandenbossche & Thomas Demuynck, 2013. "Network Formation with Heterogeneous Agents and Absolute Friction," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 23-45, June.
    15. Slikker, M. & Gilles, R.P. & Norde, H.W. & Tijs, S.H., 2000. "Directed Communication Networks," Discussion Paper 2000-84, Tilburg University, Center for Economic Research.
    16. Maryam Farboodi, 2014. "Intermediation and Voluntary Exposure to Counterparty Risk," 2014 Meeting Papers 365, Society for Economic Dynamics.
    17. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    18. Anchorena, José & Anjos, Fernando, 2015. "Social ties and economic development," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 63-84.
    19. Kirchsteiger, Georg & Mantovani, Marco & Mauleon, Ana & Vannetelbosch, Vincent, 2016. "Limited farsightedness in network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 97-120.
    20. Harmsen - van Hout, Marjolein J.W. & Herings, P. Jean-Jacques & Dellaert, Benedict G.C., 2013. "Communication network formation with link specificity and value transferability," European Journal of Operational Research, Elsevier, vol. 229(1), pages 199-211.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aoz:wpaper:215. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Laura Inés D Amato (email available below). General contact details of provider: https://edirc.repec.org/data/redniar.html .

    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.