DISAGREEMENT OF HIERARCHICAL OPINION DYNAMICS WITH CHANGING ANTAGONISMS

被引:36
作者
Meng, Deyuan [1 ,2 ]
Meng, Ziyang [3 ]
Hong, Yiguang [4 ]
机构
[1] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China
[2] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[3] Tsinghua Univ, Dept Precis Instrument, State Key Lab Precis Measurement Technol & Instru, Beijing 100084, Peoples R China
[4] Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
disagreement analysis; opinion dynamics; antagonistic interaction; leader-follower hierarchy; switching signed digraph; MULTIAGENT SYSTEMS; BIPARTITE CONSENSUS; CONTAINMENT CONTROL; SOCIAL NETWORKS; CONVERGENCE; BEHAVIORS; MODELS;
D O I
10.1137/17M1130344
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For opinion dynamics in social networks with antagonisms, distributed processes lead to challenging difficulties to characterize them, especially under changing network topologies. There may appear polarization, or neutralization, or fluctuation due to the simultaneous existence of cooperative and antagonistic interactions. In this paper, a leader-follower hierarchical framework is first established for opinion dynamics under the representation of signed digraphs and then a class of disagreement behaviors is identified by introducing a new rule to distinguish leaders and followers. It is shown that for opinion dynamics under switching signed digraphs, the agents in the leader layer always converge, whereas the agents in the follower layer generally may not converge but fluctuate within a symmetric interval spanned by the converged opinions of all leaders. Furthermore, the convergence of leaders is divided into clusters, and for each cluster, the opinions of leaders are ensured to polarize or neutralize, which are correspondingly tied to the structural balance or unbalance of the associated switching signed digraph with the cluster. Illustrative examples are presented to demonstrate the disagreement behaviors observed for opinion dynamics.
引用
收藏
页码:718 / 742
页数:25
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