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Anti-Rumor Dissemination Model Based on Heat Influence and Evolution Game

Author

Listed:
  • Jing Chen

    (College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China)

  • Nana Wei

    (College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Chen Xin

    (College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Mingxin Liu

    (College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China)

  • Zeren Yu

    (International Hotel Management, City University of Macau, Macau 999078, China)

  • Miaomiao Liu

    (College of Computer and Information Technology, Northeast Petroleum University, Qinhuangdao 066004, China)

Abstract

Aiming at the problem that the existing rumor dissemination models only focus on the characteristics of rumor dissemination and ignore anti-rumor dissemination, an evolution game model, SDIR, based on heat influence is proposed in this paper. Firstly, in order to solve the problem that rumor and anti-rumor information of emergency events disseminate simultaneously in social networks, the model extracts the factors that affect information dissemination: user behavior characteristics, user closeness and heat influence of participating topics. Secondly, anti-rumor information and an evolutionary game mechanism are introduced into the traditional SIR model, binary information is introduced to analyze the anti-rumor dissemination model SDIR, and the four state transitions and dissemination processes of SDIR are discussed. Finally, the SDIR model is experimentally validated in different datasets and dissemination models. The experimental results show that the SDIR model is in line with the actual dissemination law, and it can be proved that high self-identification ability plays a certain role in suppressing rumors; the anti-rumor information effectively inhibits the spread of rumor information to a certain extent. Compared with other models, the SDIR model is closer to the real diffusion range in the dataset.

Suggested Citation

  • Jing Chen & Nana Wei & Chen Xin & Mingxin Liu & Zeren Yu & Miaomiao Liu, 2022. "Anti-Rumor Dissemination Model Based on Heat Influence and Evolution Game," Mathematics, MDPI, vol. 10(21), pages 1-15, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4064-:d:959889
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    References listed on IDEAS

    as
    1. Huo, Liang’an & Chen, Sijing, 2020. "Rumor propagation model with consideration of scientific knowledge level and social reinforcement in heterogeneous network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    2. Yin, Fulian & Jiang, Xinyi & Qian, Xiqing & Xia, Xinyu & Pan, Yanyan & Wu, Jianhong, 2022. "Modeling and quantifying the influence of rumor and counter-rumor on information propagation dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    3. Chen, Shanshan & Jiang, Haijun & Li, Liang & Li, Jiarong, 2020. "Dynamical behaviors and optimal control of rumor propagation model with saturation incidence on heterogeneous networks," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    4. Yu, Shuzhen & Yu, Zhiyong & Jiang, Haijun & Li, Jiarong, 2021. "Dynamical study and event-triggered impulsive control of rumor propagation model on heterogeneous social network incorporating delay," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
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