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Learning in Networks: a survey

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  • Goyal, Sanjeev

Abstract

This paper presents a survey of research on learning with a special focus on the structure of interaction between individual entities. The structure is formally modelled as a network: the nodes of the network are individuals while the arcs admit a variety of interpretations (ranging from information channels to social and economic ties). I first examine the nature of learning about optimal actions for a given network architecture. I then discuss learning about optimal links and actions in evolving networks.

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  • Goyal, Sanjeev, 2003. "Learning in Networks: a survey," Economics Discussion Papers 9983, University of Essex, Department of Economics.
  • Handle: RePEc:esx:essedp:9983
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    Cited by:

    1. Alexander Eim & Dirk Lamprecht & Mark Wipprich, 2006. "Die Netzwerke der Sparkassen-Finanzgruppe und des genossenschaftlichen FinanzVerbundes: Zukunftsperspektiven des Dreisäulensystems," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(4), pages 53-72.
    2. Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
    3. Sanjeev Goyal & Marco J. van der Leij & José Luis Moraga-Gonzalez, 2006. "Economics: An Emerging Small World," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 403-432, April.

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