Disagreement and Polarization for Extended DeGroot Opinion Dynamics Model in Social Networks

被引：0
|
作者：
Huang, Shun [1 ,2 ]
Liu, Qingsong [1 ,2 ]
Chai, Li [1 ,2 ]
机构：
[1] Wuhan Univ Sci & Technol, Engn Res Ctr Met Automat & Measurement Technol, Wuhan 430081, Peoples R China
[2] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China
来源：
PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) | 2021年
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Disagreement and polarization; Opinion dynamics; Extended DeGroot model; Social network; Learning scenario; MULTIAGENT SYSTEMS; CONSENSUS;
D O I：
10.1109/CCDC52312.2021.9601817
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the real world, the individuals are not easy to fully accept new knowledge from the other individuals since the the cognitive ability or learning ability of the individuals. In this paper, an extended DeGroot model is proposed to study the evolution of opinions in the social networks. It is shown that the opinion is antagonistic if the network is strongly connected, and sufficient conditions for the opinion reaching disagreement and polarization are obtained in terms of the structure of the social networks. Moreover, we apply the extended model to address the public opinion event heat problem. Finally, a case study that learning scenario is worked out to illustrate the effectiveness of the opinion dynamics model.
引用
收藏
页码：2502 / 2507
页数：6
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