Abstract
Benefiting from the development of Internet technology, online social networks with multilingual communication function are in a booming stage, greatly contributing to the convenience, extensiveness and diversity of information exchange. To explore the rumor diffusion mechanism and efficient control strategies in multilingual online environments, a novel stochastic rumor-spreading model with the generalized nonlinear diffusion form is proposed. Firstly, we strictly prove the positive and existence uniqueness of the model solution to ensure that it corresponds to the realistic meaning. Then, the asymptotic behavior around the rumor-free equilibrium is acquired by using graph theorey and stochastic stability theory. Besides, we obtain conditions for the stationary distribution of stochastic rumor-spreading model based on the Kasminskii’s theory. Moreover, an event-triggered discontinuous feedback (ETDF) control strategy that can be applied to online networks is proposed, which initiates control only when an alert threshold is exceeded and updates the control intensity when an event-triggered condition is reached. Finally, numerical simulations verify the correctness of the theoretical results, and an actual multilingual Internet rumor case shows the applicability of the model.







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References
Goffman, W., Newill, V.: Generalization of epidemic theory: an application to the transmission of ideas. Nature 204, 225–228 (1964)
Daley, J., Kendall, G.: Epidemics and rumors. Nature 204, 1118 (1964)
Maki, D., Thompson, M.: Mathematical Models and Applications, with Emphasis on the Social, Life, and Management Sciences. Prentice Hall, Englewood Cliffs (1973)
Xiong, D., Li, T., Tian, M.: Rumor spreading of a SEIR model in complex social networks with hesitating mechanism. Adv. Differ. Equ. 391 (2018)
Wang, Z., Chen, A.: On ISRC rumor spreading model for scale-free networks with self-purification mechanism. Complexity 2021, 6685306 (2021)
Xia, Y., Jiang, H., Mei, X., Li, J., Yu, S.: Dynamical analysis of a stochastic Hyper-INPR competitive information propagation model. Chaos Solitons Fractals 185, 115073 (2024)
Cao, B., Guan, G., Shen, S., Zhu, L.: Dynamical behaviors of a delayed SIR information propagation model with forced silence function and control measures in complex networks. Eur. Phys. J. Plus 138(5), 402 (2023)
Li, B., Zhu, L.: Turing instability analysis of a reaction-diffusion system for rumor propagation in continuous space and complex networks. Inform. Process. Manag. 61, 103621 (2024)
Zhu, L., Tao, X., Shen, S.: Pattern dynamics in a reaction–diffusion predator–prey model with Allee effect based on network and non-network environments. Eng. Appl. Artif. Intell. 128, 107491 (2024)
Zhu, L., Yuan, T.: Optimal control and parameter identification of a reaction–diffusion network propagation model. Nonlinear Dyn. 111, 21707–21733 (2023)
Meskaf, A., Khyar, O., Danane, J., Allali, K.: Global stability analysis of a two-strain epidemic model with non-monotone incidence rates. Chaos Solitons Fractals 133, 109647 (2020)
Liu, X., Yang, L.: Stability analysis of an SEIQV epidemic model with saturated incidence rate. Nonlinear Anal.-Real. 13, 2671–2679 (2012)
Huo, L., Jiang, J., Gong, S., He, B.: Dynamical behavior of a rumor transmission model with Holling-type II functional response in emergency event. Phys. A 450, 228–240 (2016)
Kwon, S., Cha, M., Jung, K., Chen, W., Wang, Y.: Prominent features of rumor propagation in online social media. In: IEEE 13th International Conference on Data Mining (2013)
Huo, L., Chen, X., Zhao, L.: The optimal event-triggered impulsive control of a stochastic rumor spreading model incorporating time delay using the particle swarm optimization algorithm. J. Franklin Inst. 360(7), 4695–4718 (2023)
Jia, F., Lv, G.: Dynamic analysis of a stochastic rumor propagation model. Phys. A 490, 613–623 (2018)
Wang, J., Jiang, H., Ma, T., Hu, C.: Global dynamics of the multi-lingual SIR rumor spreading model with cross-transmitted mechanism. Chaos Soliton Fractal 126, 148–157 (2019)
Xia, Y., Jiang, H., Yu, Z., Yu, S.: Dynamic analysis and optimal control of a reaction-diffusion rumor propagation model in multi-lingual environments. J. Math. Anal. Appl. 331, 126967 (2023)
Li, J., Jiang, H., Mei, X., Hu, C., Zhang, G.: Dynamical analysis of rumor spreading model in multi-lingual environment and heterogeneous complex networks. Inform. Sci. 536, 391–408 (2020)
Yu, S., Yu, Z., Jiang, H., Mei, X., Li, J.: The spread and control of rumors in a multilingual environment. Nonlinear Dyn. 100(3), 2933–2951 (2020)
Xia, Y., Jiang, H., Yu, Z.: Global dynamics of ILSR rumor spreading model with general nonlinear spreading rate in multi-lingual environment. Chaos Soliton Fractal 154, 111698 (2022)
Yu, S., Yu, Z., Jiang, H., Yang, S.: The dynamics and control of 2I2SR rumor spreading models in multilingual online social networks. Inform. Sci. 581, 18–41 (2021)
Zhu, L., Zheng, W., Zhang, X.: Bifurcation analysis of a reaction-diffusion rumor spreading model with nonsmooth control. Int. J. Bifurcat. Chaos 32, 2250109 (2022)
Ke, Y., Zhu, L., Wu, P., Shi, L.: Dynamics of a reaction-diffusion rumor propagation model with non-smooth control. Appl. Math. Comput. 435, 127478 (2022)
Ma, X., Shen, S., Zhu, L.: Complex dynamic analysis of a reaction–diffusion network information propagation model with non-smooth control. Inform. Sci. 622, 1141–1161 (2023)
Santhoshkumar, S., Dhinesh, B.: Social immunity based approach to suppress rumors in online social networks. Int. J. Mach. Learn. Cybern. 12, 81–96 (2021)
Zhang, P., Bao, Z., Niu, Y.: Proactive rumor control in online networks. World Wide Web 22, 1799–1818 (2019)
Zhu, L., Yang, F., Guan, G., Zhang, Z.: Modeling the dynamics of rumor diffusion over complex networks. Inform. Sci. 562, 240–258 (2021)
Yu, Y., Liu, J., Ren, J., Wang, Q., Xiao, C.: Minimize the impact of rumors by optimizing the control of comments on the complex network. AIMS Math. 6(6), 6140–6159 (2021)
Huo, L., Chen, X.: Near-optimal control of a stochastic rumor spreading model with Holling II functional response function and imprecise parameters. Chin. Phys. B 30(12), 120205 (2021)
Ding, L., Hu, P., Guan, Z., Li, T.: An efficient hybrid control strategy for restraining rumor spreading. IEEE Trans. Syst. 51(11), 6779–6791 (2020)
Li, Q., Jiang, D.: Dynamics of a stochastic multigroup SEI epidemic model. Stocg. Anal. Appl. 1944876 (2021)
Mao, X.: Stochastic Differential Equations and Applications. Horwood Publishing, Chichester (1997)
Sun, R., Shi, J.: Global stability of multigroup epidemic model with group mixing and nonlinear incidence rates. Appl. Math. Comput. 218(2), 280–286 (2011)
Hasminskii, R.: Stochastic Stability of Differential Equations. Springer, Alphen aan den Rijne Netherlands (1980)
Zhu, H., Zhang, X., An, Q.: Global stability of a rumor spreading model with discontinuous control strategies. Phys. A 606, 128157 (2022)
Li, C., Ma, Z., Wang, Y.: Dynamics of a delayed rumor spreading model with discontinuous threshold control. Heliyon 8(10), e11231 (2022)
Tabuada, P.: Event-triggered real-time scheduling of stabilizing control tasks. IEEE Trans. Autom. Control 52, 1680–1685 (2007)
Xu, F., Sheng, V., Wang, M.: Near real-time topic-driven rumor detection in source microblogs. Knowl. Based Syst. 207, 106391 (2020)
Milad, M., Marx, J., Reimann, A.: Department of computer science and rumor correction in social media crisis communication: a case of connective sense-breaking. AIS Trans. Human-Comput. Interact. 14(2), 150–183 (2022)
Acknowledgements
This research was supported by the National Natural Science Foundation of China (62163035), Excellent Doctoral Innovation Program of Xinjiang University (XJU2024BS036), the Tianchi Talent Training Program, and the Special Project for Local Science Technology Development Guided by the Central Government (ZYYD2022A05).
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Xia, Y., Jiang, H. A stochastic rumor spreading model with event-triggered discontinuous feedback control in multilingual online networks. J. Appl. Math. Comput. 70, 6035–6062 (2024). https://doi.org/10.1007/s12190-024-02184-3
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DOI: https://doi.org/10.1007/s12190-024-02184-3
Keywords
- Multilingual online networks
- Stochastic rumor-spreading model
- Generalized nonlinear diffusion
- ETDF control
- Practical application