文献类型：期刊文献

英文题名：Multi-state voter model on weighted social networks with committed agents

作者：Chen, Saijun[1];Hu, Haibo[1];Chen, Jun[1];Chen, Zhigao[1]

机构：[1]E China Univ Sci & Technol, Dept Management, Shanghai 200237, Peoples R China

年份：2014

卷号：25

期号：7

外文期刊名：INTERNATIONAL JOURNAL OF MODERN PHYSICS C

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000336487700007)】；

基金：We thank the anonymous reviewers for their remarks and suggestions which helped us to improve the quality of the manuscript. This work is partly supported by the National Natural Science Foundation of China (Grant Nos. 61104139, 71101053 and 71271087) and the Fundamental Research Funds for the Central Universities (Grant Nos. WN1223008 and WN1323006).

语种：英文

外文关键词：Voter model; opinion dynamics; social network

摘要：There exist scaling correlations between the edge weights and the nodes' degrees in weighted social networks. Based on the empirical findings, we study a multi-state voter model on weighted social networks where the weight is given by the product of agents' degrees raised to a power theta and there exist persistent individuals whose opinions are independent of those of their friends. We find that the fraction of each opinion will converge to a value which only relates to the degrees of initial committed agents and the scaling exponent theta. The analytical predictions are verified by numerical simulations. The model indicates that agents' degrees and scaling exponent can significantly influence the final coexistence or consensus state of opinions. We also study the influence of degree mixing characteristics on the dynamics model by numerical simulations and discuss the relation between the model and the other related opinion dynamics models on social networks with different topological structures and initial configurations.