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Evolution of Conventions in Endogenous Social Networks

Author

Listed:
  • Edward Droste

    (Tilburg University)

  • Robert P. Gilles

    (Virginia Polytechnic Institute)

  • Cathleen Johnson

    (Virginia Polytechnic Institute)

Abstract
We analyze the dynamic implications of learning in a large population coordination game where both the actions of the players and the communication network between these players evolve over time. We depart from the conventional models in assuming that the interaction network itself is subject to evolutionary pressure. Cost considerations of social interaction are incorporated by application of a circular model in which all players are located at equal distances along a circle. Although the locations of the players are fixed they can create their own interaction neighborhood by forming and severing links with other players. The spatial structure of the model is then used to determine the costs of establishing a communication link between a pair of players. Namely, we assume that the larger the distance between two players on the circle, the larger the maintenance costs of the mutual link will be. As maintenance costs include invested time and effort, distance should not only be interpreted as physical distance but may also represent social distance. We follow standard evolutionary game theoretic practice to determine the equilibria in this setting. The resulting equilibrium represents the players' medium run behavior if perturbations representing players' mistakes are absent. We find that in this medium run case, the dynamic process converges to an absorbing state. These absorbing states include ones in which there emerge local conventions, i.e., fully connected neighborhoods of players who coordinate on the same strategy. In the ultralong run, i.e., when perturbations representing players' mistakes are taken into account, coexistence of conventions is no longer possible. We show that the risk-dominant convention is the unique stochastically stable convention, meaning that it will be observed almost surely when the mistake probabilities are small but nonvanishing. This confirms the insights obtained in Ellison (1993) for fixed spatial interaction structures.

Suggested Citation

  • Edward Droste & Robert P. Gilles & Cathleen Johnson, 2000. "Evolution of Conventions in Endogenous Social Networks," Econometric Society World Congress 2000 Contributed Papers 0594, Econometric Society.
    • Handle: RePEc:ecm:wc2000:0594
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    References listed on IDEAS

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    Cited by:

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    3. Giorgio Fagiolo, 2001. "Coordination, Local Interactions and Endogenous Neighborhood Formation," LEM Papers Series 2001/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Michael Kosfeld, "undated". "Network Experiments," IEW - Working Papers 152, Institute for Empirical Research in Economics - University of Zurich.
    5. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    6. Jackson, Matthew O. & Calvo, Antoni, 2002. "Social Networks in Determing Employment and Wages: Patterns, Dynamics, and Inequality," Working Papers 1149, California Institute of Technology, Division of the Humanities and Social Sciences.
    7. Matthew O. Jackson, 2002. "The Stability and Efficiency of Economic and Social Networks," Microeconomics 0211011, University Library of Munich, Germany.
    8. Matthew O. Jackson, 2003. "A Survey of Models of Network Formation: Stability and Efficiency," Game Theory and Information 0303011, University Library of Munich, Germany.
    9. Miguel A. Meléndez-Jiménez, 2007. "A Bargaining Approach To Coordination In Networks," Working Papers. Serie AD 2007-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    10. Berninghaus, Siegfried & Haller, Hans, 2007. "Pairwise interaction on random graphs," Papers 06-16, Sonderforschungsbreich 504.
    11. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2005. "Population Learning in a Model with Random Payoff Landscapes and Endogenous Networks," Computational Economics, Springer;Society for Computational Economics, vol. 24(4), pages 383-408, June.
    12. Fagiolo, Giorgio, 2005. "Endogenous neighborhood formation in a local coordination model with negative network externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 297-319, January.
    13. A. Arrighetti & S. Curatolo, 2010. "Costi di coordinamento e vantaggi di aggregazione: esiti, morfologia e processi di interazione in un mondo artificiale multi-agente," Economics Department Working Papers 2010-EP01, Department of Economics, Parma University (Italy).

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