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Simulation analyzes opinion evolution in individuals within dynamic networks, suggesting effects of stubbornness on consensus outcomes.
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.
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Yang et al. (2026) studied this question.
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