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Modeling resource flow asymmetries using condensation networks

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  • Pascal Billand
  • Christophe Bravard
  • Sudipta Sarangi
Abstract
This paper examines strict Nash networks in the noncooperative directed flow model of Bala and Goyal (Econometrica 68(5):1181–1230, 2000 ) with partner heterogeneity (payoff of a player in a link depends on the identity of her link partner). We focus on the asymmetries with regard to the resources obtained by players. Using the notion of condensation networks, we partition the population into groups of players who obtain the same resources and order these groups according to the resources they obtain. We show that the partner heterogeneity assumption impacts the strict Nash networks asymmetries in a different way than Galeotti (Econ Theory 29(1):163–179, 2006 ) player heterogeneity assumption (the payoff of a player in a link depends on her own identity). Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2013. "Modeling resource flow asymmetries using condensation networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 537-549, September.
    • Handle: RePEc:spr:sochwe:v:41:y:2013:i:3:p:537-549
    DOI: 10.1007/s00355-012-0697-8
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    1. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. Robert P. Gilles & Cathleen Johnson, 2000. "original papers : Spatial social networks," Review of Economic Design, Springer;Society for Economic Design, vol. 5(3), pages 273-299.
    3. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Strict Nash networks and partner heterogeneity," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(3), pages 515-525, August.
    4. Haller, Hans & Sarangi, Sudipta, 2005. "Nash networks with heterogeneous links," Mathematical Social Sciences, Elsevier, vol. 50(2), pages 181-201, September.
    5. McBride, Michael, 2008. "Position-specific information in social networks: Are you connected?," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 283-295, September.
    6. Hojman, Daniel A. & Szeidl, Adam, 2008. "Core and periphery in networks," Journal of Economic Theory, Elsevier, vol. 139(1), pages 295-309, March.
    7. Kim, Chongmin & Wong, Kam-Chau, 2007. "Network formation and stable equilibrium," Journal of Economic Theory, Elsevier, vol. 133(1), pages 536-549, March.
    8. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    9. Andrea Galeotti, 2006. "One-way flow networks: the role of heterogeneity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(1), pages 163-179, September.
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    Cited by:

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