Analyze and solve the network public opinion communication based on the improved SEIR model

Zhuohang Qin; Sibei Li; Hao Qi; Siyuan Liu; Guoqing Meng; Mengling Luo

doi:10.1117/12.2685942

28 July 2023 Analyze and solve the network public opinion communication based on the improved SEIR model

Zhuohang Qin, Sibei Li, Hao Qi, Siyuan Liu, Guoqing Meng, Mengling Luo

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564C (2023) https://doi.org/10.1117/12.2685942
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Network public opinion is a double-edged sword. If we do not make good use of the network’s public opinion, it will result in immeasurable losses to individuals and the country. Therefore, we provide a dynamic model of infectious diseases to analyze and solve the problem of the spread of network public opinion. To deal with the problem, we have established four models based on the SEIR model, calculated the disease-free equilibrium points corresponding to the four models, and then figured out the basic reproduction number of the four models according to the disease-free equilibrium points. Based on the basic reproduction number, reasonable suggestions and references are given to solve this problem.

Citation Download Citation

Zhuohang Qin, Sibei Li, Hao Qi, Siyuan Liu, Guoqing Meng, and Mengling Luo "Analyze and solve the network public opinion communication based on the improved SEIR model", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564C (28 July 2023); https://doi.org/10.1117/12.2685942

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