The Public Opinion Evolution under Group Interaction in Different Information Features

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 pro...

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Main Authors: Jing Wei, Yuguang Jia, Yaozeng Zhang, Hengmin Zhu, Weidong Huang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/1016692
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author Jing Wei
Yuguang Jia
Yaozeng Zhang
Hengmin Zhu
Weidong Huang
author_facet Jing Wei
Yuguang Jia
Yaozeng Zhang
Hengmin Zhu
Weidong Huang
author_sort Jing Wei
collection DOAJ
description 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.
format Article
id doaj-art-d304caecd6e64dbcaa907ffb52654992
institution Kabale University
issn 1099-0526
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-d304caecd6e64dbcaa907ffb526549922025-02-03T01:07:38ZengWileyComplexity1099-05262022-01-01202210.1155/2022/1016692The Public Opinion Evolution under Group Interaction in Different Information FeaturesJing Wei0Yuguang Jia1Yaozeng Zhang2Hengmin Zhu3Weidong Huang4Department of ManagementDepartment of ManagementDepartment of ManagementDepartment of ManagementDepartment of ManagementBefore 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.http://dx.doi.org/10.1155/2022/1016692
spellingShingle Jing Wei
Yuguang Jia
Yaozeng Zhang
Hengmin Zhu
Weidong Huang
The Public Opinion Evolution under Group Interaction in Different Information Features
Complexity
title The Public Opinion Evolution under Group Interaction in Different Information Features
title_full The Public Opinion Evolution under Group Interaction in Different Information Features
title_fullStr The Public Opinion Evolution under Group Interaction in Different Information Features
title_full_unstemmed The Public Opinion Evolution under Group Interaction in Different Information Features
title_short The Public Opinion Evolution under Group Interaction in Different Information Features
title_sort public opinion evolution under group interaction in different information features
url http://dx.doi.org/10.1155/2022/1016692
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