Consensus of Heterogeneous Opinion Dynamics With Reducible Topic Matrices Under Time-Varying Individual Interactive Networks
Abstract
In this article, a heterogeneous opinion dynamics model is proposed by multiple interdependent topics in a time-varying interactive network with competing relationships. A reducible topic matrix is used to describe logical interdependent relationships within different topics. Based on a topic partition method for the multitopics, consensus and convergence are analyzed for the heterogeneous opinion dynamics model with the presence of multiple stubborn individuals. Simulation results demonstrate effects of the number of stubborn individuals on the opinion evolution processes with the reducible topic matrix.
Fields of Study & Subjects
Opinion Dynamics and Social Influence
Complex Network Analysis Techniques
Game Theory and Applications
Publication details
- Journal / source
- IEEE Transactions on Cybernetics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 56
- Issue
- 8
- Pages
- 4364–4377
- Publication date
- 20 April 2026
- Language
- EN