Research on Evolution Model of Online Public Opinion Based on Temporal Network

Authors

Li Feng, 1. School of Business Administration, South China University of Technology, Guangzhou 510640, China;;
Wei Ying, 2. Department of Business Administration, Jinan University, Guangzhou 510632, China;

Abstract

Abstract: With the in-depth study on the social medias, the social networks of online platforms are recognized gradually as the time-varying temporal networks. In order to compare and analyze the information diffusion process and the result, the analysis method of computer simulations is adopted, a temporal network is generated, and the SIR model is used as the online public opinion diffusion model. The simulation results based on multi-agent approach show that the uncertainty of information diffusion on the social platforms comes from the complicated structure of the temporal networks and the SIR model. In addition, the misunderstanding of the social networks being static also overestimates the information diffusion.Some managerial insights are proposed through the parameters analysis.

Recommended Citation

Feng, Li and Ying, Wei (2020) "Research on Evolution Model of Online Public Opinion Based on Temporal Network," Journal of System Simulation: Vol. 32: Iss. 3, Article 6.
DOI: 10.16182/j.issn1004731x.joss.18-0254
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss3/6

First Page

394

Revised Date

2018-11-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0254

Last Page

403

CLC

TP391.3

Recommended Citation

Li Feng, Wei Ying. Research on Evolution Model of Online Public Opinion Based on Temporal Network[J]. Journal of System Simulation, 2020, 32(3): 394-403.

Corresponding Author

Wei Ying,

DOI

10.16182/j.issn1004731x.joss.18-0254