Benefits of Diversity, Communication Costs, and Public Opinion Dynamics
Authored by Gani Aldashev, Timoteo Carletti
DOI: 10.1002/cplx.20276
Sponsors:
National Bank of Belgium
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Abstract
We study the dynamics of public opinion in a model where agents change their opinions as a result of random binary encounters if the opinion difference is below their individual thresholds that evolve over time. We ground these thresholds in a simple individual cost-benefit analysis with linear benefits of diversity and quadratic communication costs. We clarify and deepen the results of earlier continuous-opinion dynamics models (Deffuant et al., Adv Complex Systems 2000, 3, 87-98; Weisbuch et al., Complexity 2002, 7, 55-63) and establish several new results regarding the patterns of opinions in the asymptotic state and the cluster formation time. (C) 2009 Wiley Periodicals, Inc. Complexity 15:54-63, 2009
Tags
Agent-based models
Opinion dynamics
Diversity
communication costs