Affiliations: [a] School of Literature and Law, North China Institute of Science and Technology, Sanhe, China
| [b] Beijing Jinghang Research Institute of Computing and Communication, Beijing, China
| [c] School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China
Correspondence:
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Corresponding author. Dai Lili, School of Literature and Law, North China Institute of Science and Technology, Sanhe, China. E-mails: [email protected] and [email protected].
Abstract: With the rise of the network society, as the mapping Internet space, the public opinion has become the most active way of expressing social public opinion. It gradually gets deeply involved in the development and change of various social phenomena, social problems and social events, and evolves into the real politics and public management. In this context, it is of great practical significance to explore the evolution process and laws of online public opinions and systematically analyze the influence mechanism in the evolution process of online public opinions. This paper comprehensively uses the modeling simulation, empirical analysis, fuzzy systems and other research methods, adopts the reasonable abstraction of the main behavior characteristics, behavior motives and network relations of network users, and then constructs the evolution model of network public opinion in the complex social network. Besides, from the new research perspective of network members and network relations of the dynamic interaction between the government, media and netizen, this paper makes an in-depth study on the influence mechanism of the dynamic evolution of online public opinion.
Keywords: Local similarity, clustering, complex networks, information public opinion, based Intelligent fuzzy system
