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Comparing extremism propagation patterns in continuous opinion models

Abstract : We compare patterns of extremism propagation yielded by 4 continuous opinion models, when the main parameters vary, on different types of networks (total connection, random network, lattice). In two models the individuals take into account the uncertainty of their interlocutor, and they show similar patterns, with a higher probability of double extreme convergence than in the other couple of models (in which the interlocutor's uncertainty is not taken into account). The addition of noise does not change significantly the results, except that it favours the single extreme convergence in some models. The lattice topology of interactions provides results which are significantly different from the ones obtained with a random network of similar connection density. We identify 3 typical behaviours with a single initial extremist, which help to explain the different results. In particular, we observe that the single extreme convergence is favoured by small shortest paths between all pairs of nodes in the network.
Mots-clés : LISC JASSS
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Article dans une revue
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Déposant : Migration Irstea Publications <>
Soumis le : vendredi 15 mai 2020 - 12:40:29
Dernière modification le : jeudi 8 octobre 2020 - 17:06:02


  • HAL Id : hal-02588343, version 1
  • IRSTEA : PUB00020398



Guillaume Deffuant. Comparing extremism propagation patterns in continuous opinion models. Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2006, 9 (3), pp.24. ⟨hal-02588343⟩



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