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Multi-Agent Collaborative Rumor-Debunking Strategies on Virtual-Real Network Layer

Author

Listed:
  • Xiaojing Zhong

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Yawen Zheng

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Junxian Xie

    (School of Culture and Creativity, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai 519000, China)

  • Ying Xie

    (School of Public Administraion, Guangzhou University, Guangzhou 510006, China)

  • Yuqing Peng

    (School of Journalism and Communication, Guangzhou University, Guangzhou 510006, China)

Abstract

In the era of self-media, the spontaneity and anonymity of information dissemination have led to a surge in rumors, posing significant challenges to cybersecurity. This paper introduces a novel dual-layer V R − S H I 1 I 2 R rumor control model for studying collaborative rumor-debunking efforts. Utilizing mathematical modeling and simulation methods, we propose key thresholds for rumor propagation from both theoretical and simulation perspectives, and explore optimal methods for rumor control. Our model is validated with real data from actual cases, confirming its accuracy and the effectiveness. The study shows that without intervention, rumors will spread rapidly. Both constant and dynamically optimized control significantly slow down the spread of rumors. However, dynamic optimization control significantly reduces control costs compared to fixed control schemes. Moreover, we find that controlling only the media layer is insufficient. These findings highlight the importance of meticulous approaches to rumor control in the digital age.

Suggested Citation

  • Xiaojing Zhong & Yawen Zheng & Junxian Xie & Ying Xie & Yuqing Peng, 2024. "Multi-Agent Collaborative Rumor-Debunking Strategies on Virtual-Real Network Layer," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:3:p:462-:d:1330610
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    References listed on IDEAS

    as
    1. Ke, Yue & Zhu, Linhe & Wu, Peng & Shi, Lei, 2022. "Dynamics of a reaction-diffusion rumor propagation model with non-smooth control," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    2. Li, Jiarong & Jiang, Haijun & Yu, Zhiyong & Hu, Cheng, 2019. "Dynamical analysis of rumor spreading model in homogeneous complex networks," Applied Mathematics and Computation, Elsevier, vol. 359(C), pages 374-385.
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    4. Zhang, Ziyu & Mei, Xuehui & Jiang, Haijun & Luo, Xupeng & Xia, Yang, 2023. "Dynamical analysis of Hyper-SIR rumor spreading model," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    5. Zhao, Danling & Sun, Jianbin & Tan, Yuejin & Wu, Jianhong & Dou, Yajie, 2018. "An extended SEIR model considering homepage effect for the information propagation of online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1019-1031.
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