Simulation of Hot Event Propagation Based on Game Theory and SIRS

Authors

Dezhi Wei, 1. Jimei University Chengyi College Xiamen 361021, China;;2. School of Economics and Management, Fuzhou University Fuzhou 350108, China;
Fuji Chen, 2. School of Economics and Management, Fuzhou University Fuzhou 350108, China;
Lina Lin, 1. Jimei University Chengyi College Xiamen 361021, China;;

Abstract

Abstract: The hot events of the internet public opinion spread fast and have great influence. It has become a topic of concern for netizens and governments. The spread of hot spots on the internet is similar to the dynamics of infectious diseases, so a traditional SIRS epidemic model based improved model is proposed, combining the analysis of the game theory. The evolutionary game model of infectious body and immune body is constructed, the equilibrium point of the game is found and the law of the spread of hot spots is obtained. The model is verified by experiment through the specific network hot events, and the actual data simulation analysis is carried out through different parameters. The propagation law of hot spots is obtained through the experiments, and the countermeasures and suggestions for the control of the hot spot events are provided.

Recommended Citation

Wei, Dezhi; Chen, Fuji; and Lin, Lina (2018) "Simulation of Hot Event Propagation Based on Game Theory and SIRS," Journal of System Simulation: Vol. 30: Iss. 6, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201806007
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/7

First Page

2050

Revised Date

2017-01-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806007

Last Page

2057

CLC

TP302

Recommended Citation

Wei Dezhi, Chen Fuji, Lin Lina. Simulation of Hot Event Propagation Based on Game Theory and SIRS[J]. Journal of System Simulation, 2018, 30(6): 2050-2057.

DOI

10.16182/j.issn1004731x.joss.201806007