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Confirming Information Flows in Networks

Listed author(s):
  • Pascal Billand

    (Universite de Lyon, Universite Jean Monnet, Saint-Etienne, CNRS, GATE)

  • Christophe Bravard

    (Universite de Lyon, Universite Jean Monnet, Saint-Etienne, CNRS, GATE)

  • Jurjen Kamphorst

    (Erasmus University Rotterdam)

  • Sudipta Sarangi

    (DIW Berlin and Louisiana State University)

Social networks, be it on the internet or in real life, facilitate information flows. We model this by giving agents incentives to link with others and receive information through those links. In many networks agents will value confirmation of the information they receive from others. Our paper analyzes the impact such a need for confirmation has on the social networks which are formed. We first study the existence of Nash equilibria and then characterize the set of strict Nash networks. Next, we characterize the set of strictly efficient networks and discuss the relationship between strictly efficient networks and strict Nash networks.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 12-019/1.

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Date of creation: 01 Mar 2012
Handle: RePEc:tin:wpaper:20120019
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  1. 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.
  2. Haller, Hans & Sarangi, Sudipta, 2005. "Nash networks with heterogeneous links," Mathematical Social Sciences, Elsevier, vol. 50(2), pages 181-201, September.
  3. Venkatesh Bala & Sanjeev Goyal, 1998. "Learning from Neighbours," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 595-621.
  4. 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.
  5. Hojman, Daniel A. & Szeidl, Adam, 2008. "Core and periphery in networks," Journal of Economic Theory, Elsevier, vol. 139(1), pages 295-309, March.
  6. K. de Jaegher & J.J.A. Kamphorst, 2008. "Network formation with decreasing marginal benefits of information," Working Papers 08-16, Utrecht School of Economics.
  7. Venkatesh Bala & Sanjeev Goyal, 2000. "original papers : A strategic analysis of network reliability," Review of Economic Design, Springer;Society for Economic Design, vol. 5(3), pages 205-228.
  8. Kim, Chongmin & Wong, Kam-Chau, 2007. "Network formation and stable equilibrium," Journal of Economic Theory, Elsevier, vol. 133(1), pages 536-549, March.
  9. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
  10. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Resources Flows Asymmetries in Strict Nash Networks with Partner Heterogeneity," Working Papers 1108, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  11. Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2006. "Network formation with heterogeneous players," Games and Economic Behavior, Elsevier, vol. 54(2), pages 353-372, February.
  12. Sudipta Sarangi & Pascal Billand & Christophe Bravard, 2010. "On the Interaction between Heterogeneity and Decay in Directed Networks," Departmental Working Papers 2010-04, Department of Economics, Louisiana State University.
  13. repec:use:tkiwps:1616 is not listed on IDEAS
  14. Andrea Galeotti & Sanjeev Goyal, 2010. "The Law of the Few," American Economic Review, American Economic Association, vol. 100(4), pages 1468-1492, September.
  15. K. de Jaegher & J.J.A. Kamphorst, 2009. "Two-way Flow Networks with Small Decay," Working Papers 09-34, Utrecht School of Economics.
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