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The Diffusion of Innovations in Social Networks

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  • H Peyton Young

Abstract

We consider processes in which new technologies and forms of behavior are transmitted through social and geographic networks Agents adopt behaviors based on a combination of their inherent payoff and their local popularity (the number of neighbors who have adopted them) subject to some random error We characterize the long-run dynamics of such processes in terms of the geometry of the network but without placing a priori restrictions on the network structure When agents interact in sufficiently small close-knit groups the expected waiting time until almost everyone is playing the stochastically stable equilibrium is bounded above independently of the number of agents and independently of the initial state

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Bibliographic Info

Paper provided by The Johns Hopkins University,Department of Economics in its series Economics Working Paper Archive with number 437.

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Date of creation: May 2000
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Handle: RePEc:jhu:papers:437

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Cited by:
  1. Allen wilhite, 2005. "PD Games on Networks," Computing in Economics and Finance 2005 20, Society for Computational Economics.
  2. Lelarge, Marc, 2012. "Diffusion and cascading behavior in random networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 752-775.
  3. Istrate, Gabriel & Marathe, Madhav V. & Ravi, S.S., 2008. "Adversarial scheduling analysis of Game-Theoretic Models of Norm Diffusion," MPRA Paper 8170, University Library of Munich, Germany.
  4. Ramon Flores & Maurice Koster & Ines Lindner & Elisenda Molina, 2012. "Networks and Collective Action," Tinbergen Institute Discussion Papers 12-032/1, Tinbergen Institute.
  5. Floortje Alkemade & Carolina Castaldi, 2005. "Strategies for the Diffusion of Innovations on Social Networks," Computational Economics, Society for Computational Economics, vol. 25(1), pages 3-23, February.

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