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Analytical Methods to Investigate the Effects of External Influence on Socio-Cultural Opinion Evolution

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Book cover Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7812))

Abstract

This paper extends the framework for merging sociologically inspired rational cognitive models of decision making with social media inspired feedback mechanisms. This model, with certain simplifying assumptions, is used to analyze the effects of external influence on the dynamics of opinion evolution in a fully connected society. The master equation is shown to have the form of the Fokker-Planck equation, and the necessary and sufficient conditions for a polynomial solution are investigated. It is proved that the parameters of the model guarantees the existence of a polynomial solution.

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Author information

Authors and Affiliations

  1. Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, Tennessee, USA

    Subhadeep Chakraborty

Authors
  1. Subhadeep Chakraborty
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Editor information

Editors and Affiliations

  1. Applied Physics Laboratory, Research and Exploratory Development Department, Johns Hopkins University, 11100 Johns Hopkins Road, 20723, Laurel, MD, USA

    Ariel M. Greenberg  & Nathan D. Bos  & 

  2. Center for Social Complexity, Department of Computational Social Science, Krasnow Institute for Advanced Study, George Mason University, 4400 University Drive, 22030, Fairfax, VA, USA

    William G. Kennedy

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Chakraborty, S. (2013). Analytical Methods to Investigate the Effects of External Influence on Socio-Cultural Opinion Evolution. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_42

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  • DOI: https://doi.org/10.1007/978-3-642-37210-0_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37209-4

  • Online ISBN: 978-3-642-37210-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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