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The Importance Of Local Clusters For The Diffusion Of Opinions And Beliefs In Interpersonal Communication Networks

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  • JÜRGEN PFEFFER

    (Institute for Software Research, School of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, United States of America)

  • KATHLEEN M. CARLEY

    (Institute for Software Research, School of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, United States of America)

Abstract

Opinions and beliefs are essential ingredients in the diffusion of innovation. We present a framework to model and simulate diffusion processes of opinions and beliefs in interpersonal communication networks. We introduce an algorithm to create stylized networks with attributes of real-world interpersonal communication networks. We also introduce a simple, but expandable model for simulating the dynamics of the diffusion processes of opinions and beliefs. We apply network multi-agent simulations to show the importance of local clusters of connected agents for keeping opinions and beliefs endemic in a social system. We also argue that due to the structure of interpersonal networks, these local clusters have the capability to propagate opinions and ideas into the entire system.

Suggested Citation

  • Jürgen Pfeffer & Kathleen M. Carley, 2013. "The Importance Of Local Clusters For The Diffusion Of Opinions And Beliefs In Interpersonal Communication Networks," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 1-19.
    • Handle: RePEc:wsi:ijitmx:v:10:y:2013:i:05:n:s0219877013400221
    DOI: 10.1142/S0219877013400221
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    References listed on IDEAS

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    1. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    2. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
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