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| Modeling and Simulation of Online Public Opinion Structure Reversal: Based on An Improved Deffuant Model |
| YU Tongyang1, XIAO Renbin2, HOU Jundong3
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1. School of Management, South-Central University for Nationalities, Wuhan 430074, China;
2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China;
3. School of Economics and Management, China University of Geosciences, Wuhan 430074, China |
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Abstract Social public opinions transfer from the real society to the network space, resulting in the emergence of network public opinion events. Online public opinion diffusion reverses the contrast between the support and opposition of public opinions, and finally changes the initial decision of interest groups, which is called the structure reversal of online public opinion. In order to explore the complex systems mechanism underlying this phenomenon, we established a network public opinion structure reversal model based on the Deffuant model. The Deffuant model is modified from two aspects: one is to transform the individual′s own opinion value into the perception opinion value in the interaction; the other is to introduce the influence of social transformation from a macro perspective. The simulation results show that social transformation factors positively influence the diffusion of online public opinion. The higher the degree of social transformation, the higher diffusion of public opinion in structure reversal. Heterogeneity level positively delays the public opinion structure reversal. The larger the size of interest groups, the more difficult it is to complete public opinion structure reversal. The model proposed in this paper can explain the structural reversal phenomenon of public opinion diffusion to a certain extent and can provide certain theoretical reference and decision support for the control of network public opinion in practice.
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Received: 28 May 2019
Published: 24 October 2019
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