Analyzing and predicting network public opinion evolution based on group persuasion force of populism

Siwei Fang, Nan Zhao, Nan Chen, Fei Xiong and Yunhui Yi

Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 809-824

Abstract: The classic individual opinion interaction model, which can effectively explore rule of Individual interaction and trend of public opinion evolution, is frequently used to study evolution of network public opinion, On basis of that, we adopt populism tendency of individual to improve opinion discrepancy threshold and optimize traditional rules of individual opinion interactive. Furthermore, we propose creatively expression of improving group persuasion force based on populism. On this foundation, GPF-NP model is constructed to analyze and predict evolution of opinions of netizens in network populism events. By simulation, we draw conclusion that scale of non-extreme populism play a vital role in evolution of network public opinion. Finally, some proposals are proposed from the simulation result to guide or prevent development of network negative public opinion.

Keywords: Opinion interaction model; Public opinion evolution; Populism; Group persuasion force (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:809-824

DOI: 10.1016/j.physa.2019.04.054

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