文献类型：期刊文献

英文题名：Social networks, mass media and public opinions

作者：Hu, Haibo[1];Zhu, Jonathan J. H.[2]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]City Univ Hong Kong, Dept Media & Commun, Kowloon, Hong Kong, Peoples R China

年份：2017

卷号：12

期号：2

起止页码：393

外文期刊名：JOURNAL OF ECONOMIC INTERACTION AND COORDINATION

收录：;WOS:【SSCI(收录号:WOS:000403494800009)】；

基金：The authors would like to thank two anonymous referees for comments and suggestions that helped clarify some questions in the paper and improve the quality of the paper. The study was partially supported by the National Natural Science Foundation of China (Grant Nos. 61473119 and 61104139), the Fundamental Research Funds for the Central Universities (Grant No. WN1524301), Hong Kong Research Grants Council (GRF No. 154412) and College of Liberal Arts & Social Sciences, City University of Hong Kong (GWF No. 9618003).

语种：英文

外文关键词：Social network; Opinion dynamics; Mass media; Multi-agent model

摘要：Our opinions and ideas are shaped by what our friends said and what we read or watched on mass media. In this paper, we propose a concise and analyzable model to study the effects of mass media modeled as an applied external field, and social networks on public opinions based on the multi-state voter model, and a tuned parameter can control the relative intensity of the effects of mass media and social networks. We consider a generalized scenario where there exist committed or stubborn agents in the networks whose opinions are not affected by their friends or mass media. We find that the fraction of each opinion will converge to a value which only relates to the fractions and degrees of stubborn agents, and the relative intensity between media and network effects. The final agents with media opinion, except the stubborn agents, also include the increment produced by the internal impact of social networks and that caused by the external impact of media. Interestingly the second increment is composed of two parts, one is from the media effect when there are no interactions between agents and the other is from the influence of media on agent opinions caused by social network structure. That is the interactions among agents within social networks can amplify media influence. Finally we also discuss several extensions to the dynamics model which consider more realistic scenarios.