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Interacting Agents and Continuous Opinions Dynamics
(2001)
Abstract
We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encounters
whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an
average opinion, whereas low thresholds result in several opinion clusters. The model is fur...More
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