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Local Interaction on Random Graphs

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  • Siegfried Berninghaus

    (Institut für Wirtschaftstheorie und Statistik (ETS), Universität Karlsruhe (TH), D-76128 Karlsruhe, Germany, Department of Economics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0316, USA)

  • Hans Haller

    () (Institut für Wirtschaftstheorie und Statistik (ETS), Universität Karlsruhe (TH), D-76128 Karlsruhe, Germany, Department of Economics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0316, USA)

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    Abstract

    We analyze dynamic local interaction in population games where the local interaction structure (modeled as a graph) can change over time: A stochastic process generates a random sequence of graphs. This contrasts with models where the initial interaction structure (represented by a deterministic graph or the realization of a random graph) cannot change over time.

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    File URL: http://www.mdpi.com/2073-4336/1/3/262/pdf
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    Bibliographic Info

    Article provided by MDPI, Open Access Journal in its journal Games.

    Volume (Year): 1 (2010)
    Issue (Month): 3 (August)
    Pages: 262-285

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    Handle: RePEc:gam:jgames:v:1:y:2010:i:3:p:262-285:d:9233

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    Related research

    Keywords: local interaction games; coordination games; random graphs; contagion;

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    1. Dunia López-Pintado, 2006. "Contagion and coordination in random networks," International Journal of Game Theory, Springer, vol. 34(3), pages 371-381, October.
    2. Alos-Ferrer, Carlos & Weidenholzer, Simon, 2006. "Imitation, local interactions, and efficiency," Economics Letters, Elsevier, vol. 93(2), pages 163-168, November.
    3. Alós-Ferrer, Carlos & Weidenholzer, Simon, 2008. "Contagion and efficiency," Journal of Economic Theory, Elsevier, vol. 143(1), pages 251-274, November.
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