Convergence and Disagreement Analysis of Opinion Dynamics
Recently,opinion dynamics have drawn much attention with mathematical and simulation analysis.In this paper,we propose a second-order opinion model composed of stubborn agents and regular agents as well as internal opinion dynamics.We first consider the opinion evolution and fluctuation analysis,and then obtain that the steady-state expectation value of the regular agents,which depend on the interaction topology and the stubborn agents,though the regular agents keep fluctuating.Then we also give an estimation of disagreement for the regular agents based on variance for this opinion dynamics model.
Opinion dynamics stubborn agents convergence fluctuation
Yinghui Wang
Key Lab of Systems and Control,Academy of Mathematics and Systems Science Chinese Academy of Sciences,Beijing 100190,P.R.China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
2893-2897
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)