Opinion Dynamics Driven Under Leadership in Cooperation-Competition Social Networks

被引：0
|
作者：
Bai, Libing [1 ]
Shi, Lei [1 ,2 ]
Chen, Hongjian [3 ]
Shao, Jinliang [1 ,2 ]
Cheng, Yuhua [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Shen Zhen Inst Artifcial Intelligence & Robot Soc, Shenzhen 518054, Peoples R China
[3] Univ Elect Sci & Technol China, Glasgow Coll, Chengdu 611731, Sichuan, Peoples R China
来源：
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA) | 2020年
基金：
美国国家科学基金会; 国家重点研发计划;
关键词：
CONSENSUS PROBLEMS; EVOLUTION; AGENTS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social psychological research shows that although the opinions of most agents (followers) tend to prevail, sometimes a firm and influential agent (leader) can influence or even overturn the followers' preferences. Inspired by this fact, this paper designs a Degreet-model-based opinion evolution rule in cooperation-competition social networks, and uses the relevant properties of the super-stochastic matrix to conduct theoretical analysis on how the leader influence the formation of followers' opinions. Finally, algebraic conditions for achieving leader-driven opinion consensus and opinion polarization are established, respectively. Moreover, the correctness of the theoretical results is verified by numerical simulations.
引用
收藏
页码：141 / 146
页数：6
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