Bounded confidence and social networks

被引：165

作者：

Weisbuch, G

机构：

[1] Ecole Normale Super, Phys Stat Lab, CNRS, URA 1306, F-75231 Paris 5, France

[2] Univ Paris 06, Phys Stat Lab, CNRS, URA 1306, F-75231 Paris 5, France

[3] Univ Paris 07, Phys Stat Lab, CNRS, URA 1306, F-75231 Paris 5, France

来源：

EUROPEAN PHYSICAL JOURNAL B | 2004年 / 38卷 / 02期

关键词：

D O I：

10.1140/epjb/e2004-00126-9

中图分类号：

O469 [凝聚态物理学];

学科分类号：

070205 ;

摘要：

In the so-called bounded confidence model proposed by Deffuant et al, agents can influence each other's opinion provided that the opinions are already sufficiently close enough. We discuss here the influence of possible social network topologies on the dynamics of this model.

引用

收藏

页码：339 / 343

页数：5

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