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Competing for Customers in a Social Network (R)

Author

Listed:
  • Pradeep Dubey

    () (Department of Economics, Stony Brook University)

  • Rahul Garg

    () (Opera Solutions, INDIA)

  • Bernard De Meyer

    () (PSE-Univesite Paris 1, Paris, FRANCE)

Abstract

There are many situations in which a customer's proclivity to buy the product of any firm depends not only on the classical attributes of the product such as its price and quality, but also on who else is buying the same product. We model these situations as games in which firms compete for customers located in a “social network”. Nash Equilibrium (NE) in pure strategies exist in general. In the quasi-linear version of the model, NE turn out to be unique and can be precisely characterized. If there are no a priori biases between customers and firms, then there is a cut-off level above which high cost firms are blockaded at an NE, while the rest compete uniformly throughout the network. We also explore the relation between the connectivity of a customer and the money firms spend on him. This relation becomes particularly transparent when externalities are dominant: NE can be characterized in terms of the invariant measures on the recurrent classes of the Markov chain underlying the social network. Finally we consider convex (instead of linear) cost functions for the firms. Here NE need not be unique as we show via an example. But uniqueness is restored if there is enough competition between firms or if their valuations of clients are anonymous.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pradeep Dubey & Rahul Garg & Bernard De Meyer, 2013. "Competing for Customers in a Social Network (R)," Department of Economics Working Papers 13-01, Stony Brook University, Department of Economics.
  • Handle: RePEc:nys:sunysb:13-01
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    File URL: http://www.stonybrook.edu/commcms/economics/research/papers/2013/geb_rev7.pdf
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    References listed on IDEAS

    as
    1. Pradeep Dubey & Rahul Garg & Bernard De Meyer, 2006. "Competing for Customers in a Social Network," Cowles Foundation Discussion Papers 1591, Cowles Foundation for Research in Economics, Yale University.
    2. Bloch, Francis & Quérou, Nicolas, 2013. "Pricing in social networks," Games and Economic Behavior, Elsevier, vol. 80(C), pages 243-261.
    3. Shy,Oz, 2001. "The Economics of Network Industries," Cambridge Books, Cambridge University Press, number 9780521805001.
    4. Banerji, A. & Dutta, Bhaskar, 2009. "Local network externalities and market segmentation," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 605-614, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Nicole Tabasso, 2014. "Diffusion of Multiple Information," School of Economics Discussion Papers 0914, School of Economics, University of Surrey.
    2. Antoine Mandel & Xavier Venel, 2017. "Dynamic competition over social networks Dynamic competition over social networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01524453, HAL.
    3. Pradeep Dubey & Rahul Garg & Bernard De Meyer, 2006. "Competing for Customers in a Social Network," Cowles Foundation Discussion Papers 1591, Cowles Foundation for Research in Economics, Yale University.
    4. Sengupta, Abhijit & Greetham, Danica Vukadinovic, 2010. "Dynamics of brand competition: Effects of unobserved social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2391-2406, December.
    5. Aner Sela & Ezra Einy & 0ri Haimanko & Diego Moreno & Avishay Aiche & Benyamin Shitovitz, 2016. "Information Advantage in Common-Value Classic Tullock Contests," Working Papers 1614, Ben-Gurion University of the Negev, Department of Economics.
    6. Nicole Tabasso, 2015. "Diffusion of Multiple Information: On Information Resilience and the Power of Segregation," Working Papers 2015.55, Fondazione Eni Enrico Mattei.
    7. Agnieszka Rusinowka & Akylai Taalaibekova, 2018. "Opinion formation and targeting when persuaders have extreme and centrist opinions," Documents de travail du Centre d'Economie de la Sorbonne 18005, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    8. Agnieszka Rusinowska & Akylai Taalaibekova, 2018. "Opinion formation and targeting when persuaders have extreme and centrist opinions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01720017, HAL.
    9. Antoine Mandel & Xavier Venel, 2017. "Dynamic competition over social networks," Documents de travail du Centre d'Economie de la Sorbonne 17021, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

    More about this item

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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