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Opinion dynamics and bounded confidence: Models, analysis and simulation (2002)
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| Venue: | Journal of Artificial Societies and Social Simulation |
| Citations: | 236 - 4 self |
BibTeX
@ARTICLE{Hegselmann02opiniondynamics,
author = {Rainer Hegselmann and Ulrich Krause},
title = {Opinion dynamics and bounded confidence: Models, analysis and simulation},
journal = {Journal of Artificial Societies and Social Simulation},
year = {2002},
volume = {5},
pages = {1--24}
}
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Abstract
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.
Keyphrases
opinion dynamic computer simulation extensive exploration nonlinear model consensus formation opinion formation classical model appendix supply model major analytical result bounded confidence mathematical definition continuous opinion group lead various model time-dependent version unified framework analytical method nonlinear version
