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Research Article | Open Access

Higher-order dynamics and optimal control of SEIR rumor propagation models in homogeneous and heterogeneous networks

Tong Jiang1Xijian Lv2Dongmei Fan1( )Qiang Li1Junxian Yang1
School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei 230036, China
School of Mathematics and Statistics, Anhui Normal University, Wuhu 241000, China
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Abstract

Higher-order interactions play a critical role in driving the rapid propagation of rumors. We propose a susceptible–exposed–infected–removed (SEIR) model that incorporates group interactions as higher-order terms. Detailed analysis reveals the emergence of bistability in both homogeneous and heterogeneous networks and shows that the bistable region expands as group interactions intensify. By utilizing group interactions as the bifurcation parameter, we derive explicit bifurcation conditions for both network types. For heterogeneous networks, we establish global stability criteria and propose an effective control strategy. Numerical simulations demonstrate the significant influence of group interactions on the bistable region. This study advances the theoretical understanding of rumor propagation dynamics and provides a practical strategy for controlling rumor propagation.

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Mathematical Modelling and Control
Pages 72-87

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Cite this article:
Jiang T, Lv X, Fan D, et al. Higher-order dynamics and optimal control of SEIR rumor propagation models in homogeneous and heterogeneous networks. Mathematical Modelling and Control, 2026, 6(1): 72-87. https://doi.org/10.3934/mmc.2026006

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Received: 11 September 2025
Revised: 10 October 2025
Accepted: 17 November 2025
Published: 15 March 2026
©2026 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)