文献类型：期刊文献

英文题名：Competing opinion diffusion on social networks

作者：Hu, Haibo[1]

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

年份：2017

卷号：4

期号：11

外文期刊名：ROYAL SOCIETY OPEN SCIENCE

收录：;WOS:【SSCI(收录号:WOS:000416787500054)，SCI-EXPANDED(收录号:WOS:000416787500054)】；

基金：The study was partially supported by the National Natural Science Foundation of China (grant no. 61473119) and the Fundamental Research Funds for the Central Universities (grant nos. WN1524301 and 222201718006).

语种：英文

外文关键词：social networks; complex networks; opinion diffusion; competition

摘要：Opinion competition is a common phenomenon in real life, such as with opinions on controversial issues or political candidates; however, modelling this competition remains largely unexplored. To bridge this gap, we propose a model of competing opinion diffusion on social networks taking into account degree-dependent fitness or persuasiveness. We study the combined influence of social networks, individual fitnesses and attributes, as well as mass media on people's opinions, and find that both social networks and mass media act as amplifiers in opinion diffusion, the amplifying effect of which can be quantitatively characterized. We analytically obtain the probability that each opinion will ultimately pervade the whole society when there are no committed people in networks, and the final proportion of each opinion at the steady state when there are committed people in networks. The results of numerical simulations show good agreement with those obtained through an analytical approach. This study provides insight into the collective influence of individual attributes, local social networks and global media on opinion diffusion, and contributes to a comprehensive understanding of competing diffusion behaviours in the real world.