Modeling and controlling delayed rumor propagation with general incidence in heterogeneous networks
Xupeng Luo,
Haijun Jiang,
Jiarong Li (),
Shanshan Chen () and
Yang Xia ()
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Xupeng Luo: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China2College of Mathematics and Physics, Guangxi Minzu University, Nanning 530006, P. R. China
Haijun Jiang: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China
Jiarong Li: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China
Shanshan Chen: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China
Yang Xia: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China
International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 02, 1-29
Abstract:
To explore the rumor propagation dynamics in online social networks (OSNs) and propose the corresponding control strategies, a novel Ignorants-Spreaders-1-Spreaders-2-Removers (I2SR) rumor-spreading model with general incidence is first formulated in heterogeneous networks. This model covers the bilinear incidence and nonlinear incidence, and considers the time delay in the rumor-spreading process, which is universal and practical. We analytically derive the basic reproduction numbers, which determine the existence of rumor-spreading equilibria but also the global dynamics of the model. Moreover, the Lyapunov–LaSalle principle and the graph-theoretic approach prove the global asymptotic stability of the rumor-free/rumor-spreading equilibria in detail. Significantly, the effects of various strategies, including uniform control, targeted control, and acquaintance control, are implemented and compared. Finally, the developed theoretical results are tested via numerical simulations and a real case data of rumors, showing that the model can more accurately simulate rumor-spreading in OSNs.
Keywords: Rumor propagation; heterogeneous network; general incidence; time delay; control strategy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124500207
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