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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:

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    2. Kahanec, Martin, 2006. "Ethnic Specialization and Earnings Inequality: Why Being a Minority Hurts but Being a Big Minority Hurts More," IZA Discussion Papers 2050, Institute of Labor Economics (IZA).
    3. 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.
    4. Kahanec, M., 2006. "Social interaction in the labor market : Essays on earnings inequality, labor substitutability, and segregation," Other publications TiSEM 9591d415-dea7-4f42-89e8-0, Tilburg University, School of Economics and Management.
    5. Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
    6. Jaromír Kovářík & Friederike Mengel & José Gabriel Romero, 2018. "Learning in network games," Quantitative Economics, Econometric Society, vol. 9(1), pages 85-139, March.
      • Kovarik, Jaromir & Mengel, Friederike & Romero, José Gabriel, 2012. "Learning in Network Games," IKERLANAK http://www-fae1-eao1-ehu-, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    7. 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.
    8. Kariv, Shachar, 2004. "A Theory and Experiments of Learning in Social Networks," Santa Cruz Department of Economics, Working Paper Series qt8853k4jd, Department of Economics, UC Santa Cruz.
    9. D'Ignazio, A. & Giovannetti, E., 2004. "From Exogenous to Endogenous Networks: Internet Applications," Cambridge Working Papers in Economics 0445, Faculty of Economics, University of Cambridge.
    10. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.

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