Meet, discuss, and segregate!
ComplexityPublished 1 January 2002
Gérard Weisbuch, Guillaume Deffuant, Frédéric Amblard, Jean‐Pierre Nadal
Citations449
SJR quartileQ1
SJR score0.43
SNIP0.81
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TL;DR
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 is presented.
Abstract
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 toward an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalized to network interactions, threshold heterogeneity, adaptive thresholds, and binary strings of opinions. © 2002 Wiley Periodicals, Inc.
Keywords
Decision SciencesPhysics and Astronomy
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