Convergence and disagreement analysis of opinion dynamics

Author

YingHui Wang

Author_Institution

Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

2893

Lastpage

2897

Abstract

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.

Keywords

convergence; mathematical analysis; multi-agent systems; convergence analysis; disagreement analysis; fluctuation analysis; interaction topology; internal opinion dynamics model; mathematical analysis; opinion evolution; regular agents; second-order opinion model; simulation analysis; steady-state expectation value; stubborn agents; Analytical models; Convergence; Multi-agent systems; Social network services; Stochastic processes; Switches; Topology; Opinion dynamics; convergence; fluctuation; stubborn agents;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6897099

Filename

6897099