CONSENSUS FORMATION IN WEIGHTED SCALE-FREE NETWORKS

被引：3
|
作者：
Hu, Ke [1 ]
Tang, Yi [1 ]
机构：
[1] Xiangtan Univ, Dept Phys, Xiangtan 411105, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2009年 / 20卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Consensus formation; weighted scale-free network; global consensus; SZNAJD MODEL; VOTER MODEL; COMPLEX NETWORKS; EVOLUTION; DYNAMICS;
D O I：
10.1142/S012918310901390X
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We develop a consensus model for studying opinion dynamics in weighed networks and investigate the effects of both the distribution of weights and the correlations between weight and degree on dynamical behaviors of opinion formation. Our results suggest that a global consensus in the weighted networks to reach is more difficult than that in unweighted network, and strongly depends on the heterogeneity of connection strengths. In addition, in the weighted network with very large heterogeneity of connection strengths, only single macroscopic opinion cluster can be formed, which differs from the behavior in the unweighted network where the next-largest macroscopic opinion cluster may exist.
引用
收藏
页码：677 / 686
页数：10
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