Title :
Convergence and disagreement analysis of opinion dynamics
Author_Institution :
Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6897099
