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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

Suggested Citation

  • 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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    Cited by:

    1. Haitao Li & Xueying Ding & Qiqi Yang & Yingrui Zhou, 2018. "Algebraic Formulation and Nash Equilibrium of Competitive Diffusion Games," Dynamic Games and Applications, Springer, vol. 8(2), pages 423-433, June.
    2. 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.
    3. 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.
    4. Huanxiu GUO & Mary-Françoise RENARD, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," Working Papers 201306, CERDI.
    5. Allen wilhite, 2005. "PD Games on Networks," Computing in Economics and Finance 2005 20, Society for Computational Economics.
    6. Lelarge, Marc, 2012. "Diffusion and cascading behavior in random networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 752-775.
    7. Soumya Paul & R. Ramanujam, 2013. "Dynamics Of Choice Restriction In Large Games," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-22.
    8. 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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