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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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  • H Peyton Young, 2000. "The Diffusion of Innovations in Social Networks," Economics Working Paper Archive 437, The Johns Hopkins University,Department of Economics.
  • Handle: RePEc:jhu:papers:437
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    1. repec:spr:dyngam:v:8:y:2018:i:2:d:10.1007_s13235-017-0228-4 is not listed on IDEAS
    2. Allen wilhite, 2005. "PD Games on Networks," Computing in Economics and Finance 2005 20, Society for Computational Economics.
    3. Floortje Alkemade & Carolina Castaldi, 2005. "Strategies for the Diffusion of Innovations on Social Networks," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 3-23, February.
    4. Lelarge, Marc, 2012. "Diffusion and cascading behavior in random networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 752-775.
    5. Flores Díaz, Ramón Jesús & Koster, Maurice & Lindner, Ines & Molina, Elisenda, 2010. "Networks and collective action," DES - Working Papers. Statistics and Econometrics. WS ws104830, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. 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.

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