Consensus of Heterogeneous Opinion Dynamics With Reducible Topic Matrices Under Time-Varying Individual Interactive Networks
提出一个异质观点动力学模型，用可约话题矩阵描述多话题间的逻辑依赖关系，分析时变交互网络中多固执个体存在时的共识与收敛性，仿真展示固执个体数量对观点演化的影响。
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.