Technical gazette, Vol. 28 No. 3, 2021.
Original scientific paper
https://doi.org/10.17559/TV-20210316155352
Quantitative Research on the Evolution Stages of We-media Network Public Opinion based on a Logistic Equation
Zhou Huizi*
orcid.org/0000-0002-6592-5595
; Beijing Jiaotong University, School of Economics and Management, No. 3 Shangyuancun Haidian District, Beijing, 100044 P. R, China
Li Xuewei
orcid.org/0000-0001-5898-4653
; Beijing Jiaotong University, School of Economics and Management, No. 3 Shangyuancun Haidian District, Beijing, 100044 P. R, China
Abstract
We-media network public opinion is a new force in the current social public opinion field that has an important impact on the guidance of social public opinion and social stability. Studying the periodic law of we-media network public opinion dissemination and constructing a quantitative model of we-media network public opinion dissemination stages provide the basis for guiding social public opinion and governing we-media network public opinion dissemination. Based on this, this paper explores the life cycle of we-media network public opinion evolution, analyzes the characteristics and connotations of each evolution stage, and determines the dominant indicators of we-media network public opinion evolution stages; in addition, this paper constructs a logistic quantitative model and its stage refinement model for the evolution and development of we-media network public opinion and uses MATLAB software to simulate the event of the academic fraud of the Chinese actor Zhai. This paper studies the four key points on the logistic curve of we-media network public opinion evolution and the five key intervals, analyzes the connotation of the quantified stage of each interval, and puts forward the governance strategy of we-media network public opinion events, through the simulation of initial values, growth rates and upper limits.
Keywords
dissemination stage; logistic model; network public opinion; refinement model; we-media
Hrčak ID:
258231
URI
Publication date:
6.6.2021.
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