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<p>This paper investigates an optimal control framework for reducing rumor spread in online social networks. Three intervention strategies-public awareness campaigns, government policy influence, and targeted network interventions are considered to minimize the number of exposed, highly influential, and ordinarily influential individuals. To efficiently solve the resulting optimal control problem, we employ a spectral discretization technique and a metaheuristic optimization approach. Numerical simulations demonstrate that the combined application of the proposed strategies significantly reduces rumor propagation and enhances public awareness in online social environments.</p>

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Optimal control of a rumor spreading model in online social networks based on a spectral method and pufferfish optimizer

  • 期刊论文

  • 发表日期：

    2026年1月3日

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  • Raheleh Khanduzi,
  • Asiyeh Ebrahimzadeh,
  • Amin Jajarmi

摘要

This paper investigates an optimal control framework for reducing rumor spread in online social networks. Three intervention strategies-public awareness campaigns, government policy influence, and targeted network interventions are considered to minimize the number of exposed, highly influential, and ordinarily influential individuals. To efficiently solve the resulting optimal control problem, we employ a spectral discretization technique and a metaheuristic optimization approach. Numerical simulations demonstrate that the combined application of the proposed strategies significantly reduces rumor propagation and enhances public awareness in online social environments.