文献类型：期刊文献

英文题名：Opinion Dynamics Considering Matthew Effect Under Switching Topology in Social Networks

作者：Liu, Mei[1];Zhang, Jinyuan[1];Xiao, Xiuchun[2];Jin, Long[1]

机构：[1]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China;[2]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524088, Peoples R China

年份：2024

卷号：11

期号：4

起止页码：3866

外文期刊名：IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:001246574800002)、、EI(收录号：20241715953077)、Scopus(收录号：2-s2.0-85190751096)、WOS

基金：No Statement Available

语种：英文

外文关键词：Social networking (online); Topology; Switches; Network topology; Analytical models; Voting; Symbols; Matthew effect; opinion dynamics; polarization; k -winners-take-all ( k -WTA); switching topology

外文摘要：Matthew effect refers to a phenomenon where the rich get richer and the poor get poorer. In this paper, a Matthew effect under switching topology (MUST) model is proposed to describe the evolution of the opinion dynamics in social networks. On social media, there may be numerous different opinions on a same social event, and initially, people will tend to believe the dominant opinion. However, when new evidence related to the event arises, the dominant opinion may be changed. In order to investigate the Matthew effect on public opinion, a feedback mechanism based on the k-winners-take-all (k-WTA) operation is leveraged to analyze and describe the polarization phenomenon in the evolution of opinions, which involves a competition between n participants with only k winners, with the others defined as losers. Further, a non-negative weighted graph with switching topology is constructed to describe changing connections between opinions in a social network. In addition, convergence and stability analysis on the proposed MUST model is provided. Finally, the experimental results visually indicate the validity and feasibility of the proposed MUST model.