The Public Opinion Evolution under Group Interaction in Different Information Features. (27th May 2022)

• Record Type: Journal Article
• Authors: Wei, Jing; Jia, Yuguang; Zhang, Yaozeng; Zhu, Hengmin; Huang, Weidong
• Other Names: Zhu Peican Academic Editor.
• Is Part Of: Complexity. Volume 2022(2022)
• Publication Date: 2022-05-27
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2022/1016692
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the opinion evolution in the entire network. This process also causes the similar status quo. In this study, we find that the key figures play the guiding roles in public opinions who undertake the group pressure from information amount. Therefore, we build the cost function on opinion changes to study opinion evolution rules for public persons based on the spreading scope of information and information amount. Simulation analysis reveals that the information amount held by agents will affect the converging speed of public opinions, while enhancing the ability of key nodes may no more effective in guiding public opinion.