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Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation

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  • Rainer Hegselmann

    ()

  • Ulrich Krause

    ()

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    Abstract

    When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section 4 gives an extensive exploration of the nonlinear model with bounded confidence by a series of computer simulations. An appendix supplies needed mathematical definitions, tools, and theorems.

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    File URL: http://jasss.soc.surrey.ac.uk/5/3/2/2.pdf
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 5 (2002)
    Issue (Month): 3 ()
    Pages: 2

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    Handle: RePEc:jas:jasssj:2002-5-2

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    Keywords: opinion dynamics; consensus/dissent; bounded confidence; nonlinear dynamical systems.;

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