Opinion and community formation in coevolving networks

作     者：Gerardo Iñiguez János Kertész Kimmo K. Kaski R. A. Barrio 

作者机构：Instituto de Física Universidad Nacional Autónoma de México Apartado Postal 20-364 01000 México Distrito Federal Mexico Centre of Excellence in Computational Complex Systems Research Department of Biomedical Engineering and Computational Science Helsinki University of Technology Espoo Finland Institute of Physics Budapest University of Technology and Economics Budapest Hungary 

出 版 物：《Physical Review E》 (物理学评论E辑：统计、非线性和软体物理学)

年 卷 期：2009年第80卷第6期

页      面：066119-066119页

核心收录：

学科分类：07[理学] 070203[理学-原子与分子物理] 0702[理学-物理学] 

基　　金：Seventh Framework Programme  FP7  (238597) 

主　　题：Network topology 

摘      要：In human societies, opinion formation is mediated by social interactions, consequently taking place on a network of relationships and at the same time influencing the structure of the network and its evolution. To investigate this coevolution of opinions and social interaction structure, we develop a dynamic agent-based network model by taking into account short range interactions like discussions between individuals, long range interactions like a sense for overall mood modulated by the attitudes of individuals, and external field corresponding to outside influence. Moreover, individual biases can be naturally taken into account. In addition, the model includes the opinion-dependent link-rewiring scheme to describe network topology coevolution with a slower time scale than that of the opinion formation. With this model, comprehensive numerical simulations and mean field calculations have been carried out and they show the importance of the separation between fast and slow time scales resulting in the network to organize as well-connected small communities of agents with the same opinion.