Public Opinion Transmission of Corporate Crisis Events Based on Improved SEIR Model
DOI:
https://doi.org/10.63313/EBM.9080Keywords:
Public Opinion Transmission, Corporate Crisis Events, SEIR model, Transmission Mechanisms, Tesla Brake FailureAbstract
In the era of the digital economy, public opinion transmission about corporate crisis events has become an important topic that needs urgent attention. In this paper, we propose an improved SEIR model applicable to the evolution of online public opinion transmission of corporate crisis events, and reveal the key nodes of public opinion transmission by solving the steady state solution and the transmission threshold R0. To identify the core factors affecting public opinion transmission, the influence mechanism of each parameter on public opinion transmission is analyzed. The reasonableness and reliability of the model are verified by simulation experiments using the Tesla “Brake Failure” crisis event. We find that the change of immunity rate β has a significant effect on the speed, scope and depth of public opinion transmission, which provides an important theoretical basis and practical guidance for enterprises to deal with crisis events.
References
[1] Janssen, C., Sen, S. and Bhattacharya, C.B. (2015) Corporate Crises in the Age of Corporate Social Responsibility. Business Horizons, 58(2), 183-192.
[2] Dong, S., et al. (2024) Multilingual SEIR Public Opinion Propagation Model with Social Enhancement Mechanism and Cross Transmission Mechanisms. Scientific Reports, 14(1), article 31081.
[3] Zhang, L., et al. (2018) Cross-Network Transmission Model of Public Opinion in Coupled Networks. Information Sciences, 451, 240-252.
[4] Yin, F., et al. (2022) Modeling and Quantifying the Influence of Rumor and Counter-Rumor on Information Propagation Dynamics. Chaos, Solitons & Fractals, 162, article 112392.
[5] Wang, Y., et al. (2021) Spreading Dynamics of a 2SIH2R Rumor Spreading Model in the Homogeneous Network. Complexity, (1), article 6693334.
[6] Kahneman, D. and Tversky, A. (1979) Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291.
[7] Oliver, S., Gao, H. and Fu, Y. (2008) Situation Analysis and Prediction of Web Public Sentiment. Proceedings of International Symposium on Information Science and Engineering, IEEE, 707-710.
[8] Nekovee, M., Moreno, Y., Bianconi, G., et al. (2007) Theory of Rumour Spreading in Complex Social Networks. Physica A, 374(1), 457-470.
[9] Liu, Y.J. and Maning (2014) SuperedgeRank Algorithm and Its Application in Identifying Opinion Leader of Online Public Opinion Supernetwork. Expert Systems with Applications, 41(4), 1357-1368.
[10] Hansen, N., Kupfer, A.K. and Hennig-Thurau, T. (2018) Brand Crises in the Digital Age: The Short- and Long-Term Effects of Social Media Firestorms on Consumers and Brands. International Journal of Research in Marketing, 35(4), 557-574.
[11] Zhang, Y. and Pan, D. (2021) Layered SIRS Model of Information Spread in Complex Networks. Applied Mathematics and Computation, 411, article 126524.
[12] Ma, W., et al. (2022) The Coupled Dynamics of Information Transmission and SEIR-Based Epidemic Spreading in Multiplex Networks. Physica A: Statistical Mechanics and Its Applications, 588, article 126558.
[13] Ran, M. and Chen, J. (2021) An Information Transmission Model Based on Positive and Negative Interference in Social Networks. Physica A: Statistical Mechanics and Its Applications, 572, article 125915.
[14] Wu, J., et al. (2018) A Model of Spreading of Sudden Events on Social Networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(3), article 033113.
[15] Li, J., et al. (2019) Dynamical Analysis of Rumor Spreading Model in Homogeneous Complex Networks. Applied Mathematics and Computation, 359, 374-385.
[16] Sudbury, A. (1985) The Proportion of the Population Never Hearing a Rumour. Journal of Applied Probability, 22(2), 443-446.
[17] Chen, B., et al. (2011) Transmission and Control Model of Internet Public Opinion in the Ubiquitous Media Environments. Systems Engineering Theory & Practice, 31(11), 2140-2150.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by author(s) and Erytis Publishing Limited.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
