An Analysis of the Evolvement of Public Opinion Based on the Improved Deffuant Model

Abstract

Abstract: In view of the fact that most current studies on Deffuant model do not take into account the evolution of the strength of individual relationships in the network, the differences of views among different individuals, and the universality of view dissemination, this paper analyses the characteristics of the evolution of view dissemination and strength of connections between individuals, and presents a new edge-weight evolution Deffuant model based on a weighted network. The results of simulation experiments show that a higher degree of trust is conducive to the stability of group relations and the consistency of opinions, and reduces the possibility of divergence of opinions. At the same time, government and expert groups have distinct characteristics in guiding public opinions. The viewpoint evolution of the improved Deffuant model and the edge weight evolution of the network conform to the viewpoint and relationship evolution in the real social network.

Key words: complex network, Deffuant model, relationship evolution, opinion evolution

Wei Jing, Zhang Yaozeng, Zhu Hengmin, Hong Xiaojuan, Lin Ping. An Analysis of the Evolvement of Public Opinion Based on the Improved Deffuant Model[J]. Management Review, 2022, 34(9): 147-157.

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