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Follow the Leader: Steady State Analysis of a Dynamic Social Network

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Abstract

A social pyramid is show to be the unique steady state social structure when agents gain utility from being early adopters of subsequently popular trends. The environment is related to a majority game, but introduces the importance of the timing of adoption. Utility derived from making a popular choice independent of timing is demonstrated as essential to support the hierarchy. The proposed environment is relevant to a number of settings in which leadership and timing of decisions are important or where being perceived as a trend setter is rewarded. The leadership position can be self-reinforcing. For a professional critic, for example, a cult-of personality can dictate popular tastes, such as in art, food, and wine markets. A social hierarchy can also apply to the introduction of new products or ideas including academic research and financial market analysts.

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  • David Goldbaum, 2009. "Follow the Leader: Steady State Analysis of a Dynamic Social Network," Working Paper Series 158, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    • Handle: RePEc:uts:wpaper:158
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    File URL: http://www.finance.uts.edu.au/research/wpapers/wp158.pdf
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    1. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 235-260.
    2. 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.
    3. Kirman, Alan & Markose, Sheri & Giansante, Simone & Pin, Paolo, 2007. "Marginal contribution, reciprocity and equity in segregated groups: Bounded rationality and self-organization in social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2085-2107, June.
    4. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    5. David Goldbaum, 2008. "Follow the Leader: Simulations on a Dynamic Social Network," Working Paper Series 155, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    7. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    8. D. Challet & A. Chessa & M. Marsili & Y-C. Zhang, 2001. "From Minority Games to real markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 168-176.
    9. Giorgio Topa, 2001. "Social Interactions, Local Spillovers and Unemployment," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 261-295.
    10. Joseph E. Harrington, Jr, 2005. "Innovators, Imitators, and the Evolving Architecture of Social Networks," Economics Working Paper Archive 529, The Johns Hopkins University,Department of Economics.
    11. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
    12. Branch, William A. & McGough, Bruce, 2008. "Replicator dynamics in a Cobweb model with rationally heterogeneous expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 224-244, February.
    13. Mizrach, Bruce & Weerts, Susan, 2009. "Experts online: An analysis of trading activity in a public Internet chat room," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 266-281, May.
    14. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
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    Keywords

    dynamic network; social interaction; consumer choice;

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