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Research Article | Open Access

Rumor model on social networks contemplating self-awareness and saturated transmission rate

Hui Wang1Shuzhen Yu1( )Haijun Jiang2,3
School of Mathematics Science, Xinjiang Normal University, Urumqi 830017, China
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China
School of Mathematics and Statistics, Yili Normal University, Yining 835000, China
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Abstract

The propagation of rumors indisputably inflicts profound negative impacts on society and individuals. This article introduces a new unaware ignorants-aware ignorants-spreaders-recovereds (2ISR) rumor spreading model that combines individual vigilance self-awareness with nonlinear spreading rate. Initially, the positivity of the system solutions and the existence of its positive invariant set are rigorously proved, and the rumor propagation threshold is solved using the next-generation matrix method. Next, a comprehensive analysis is conducted on the existence of equilibrium points of the system and the occurrence of backward bifurcation. Afterward, the stability of the system is validated at both the rumor-free equilibrium and the rumor equilibrium, employing the Jacobian matrix approach as well as the Lyapunov stability theory. To enhance the efficacy of rumor propagation management, a targeted optimal control strategy is formulated, drawing upon the Pontryagin's Maximum principle as a guiding framework. Finally, through sensitivity analyses, numerical simulations, and tests of real cases, we verify the reliability of the theoretical results and further consolidate the solid foundation of the above theoretical arguments.

CLC number: 34A34, 34D05, 34D20

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AIMS Mathematics
Pages 25513-25531

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Cite this article:
Wang H, Yu S, Jiang H. Rumor model on social networks contemplating self-awareness and saturated transmission rate. AIMS Mathematics, 2024, 9(9): 25513-25531. https://doi.org/10.3934/math.20241246

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Received: 12 June 2024
Revised: 08 August 2024
Accepted: 22 August 2024
Published: 15 September 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)