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Addition of an Emotionally Stable Node in the SOSa-SPSa Model for Group Emotional Contagion of Panic in Public Health Emergency: Implications for Epidemic Emergency Responses

Author

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  • Xiaoyang Ni

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Haojie Zhou

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Weiming Chen

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

Sentiment contagion is similar to an infectious disease that spreads in a crowd. In this study, we explore the law of emotional infection under sudden public events by SIR model. The paper adds an emotionally stable node and establishes a group emotional infection model of U-SOSPa-SPSOa model. Simulation results show that our model is reasonable and can better explain the entire contagion process by considering four groups (unsusceptible-susceptible-optimistic-pessimistic) of people. Our theoretical results show: When the pessimists were below the critical value of 0.34, the number of negative emotional groups first increased and then decreased. As the proportion increases, the emotional peak of pessimists increases. The cure probability θ o has the least influence on the P ( t ), and at the same time, under the action of θ p , the P ( t ) reaches the stable state first. The increase of the risk coefficient can promote the pessimist infection. When the degree of risk is low, the rate of emotional infection is increased. When the degree of risk is high, the rate of infection is slowed. Therefore, system customizers and related managers can improve the efficiency of stable groups, adjust the proportion of initial negative emotions, control the infection of the spontaneous infection process, and directly deal with negative emotions. They can carry out treatment and other means to stabilize group emotions and maintain social stability.

Suggested Citation

  • Xiaoyang Ni & Haojie Zhou & Weiming Chen, 2020. "Addition of an Emotionally Stable Node in the SOSa-SPSa Model for Group Emotional Contagion of Panic in Public Health Emergency: Implications for Epidemic Emergency Responses," IJERPH, MDPI, vol. 17(14), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5044-:d:384065
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    References listed on IDEAS

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    1. Cao, Mengxiao & Zhang, Guijuan & Wang, Mengsi & Lu, Dianjie & Liu, Hong, 2017. "A method of emotion contagion for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 250-258.
    2. M. J. Crockett, 2017. "Moral outrage in the digital age," Nature Human Behaviour, Nature, vol. 1(11), pages 769-771, November.
    3. Fu, Libi & Song, Weiguo & Lv, Wei & Lo, Siuming, 2014. "Simulation of emotional contagion using modified SIR model: A cellular automaton approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 380-391.
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    Cited by:

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    2. Bing Liu & Naixin Zhu & Huijuan Wang & Fengyu Li & Chenghao Men, 2021. "Protecting Nurses from Mistreatment by Patients: A Cross-Sectional Study on the Roles of Emotional Contagion Susceptibility and Emotional Regulation Ability," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    3. Meijie Chu & Wentao Song & Zeyu Zhao & Tianmu Chen & Yi-chen Chiang, 2024. "Emotional contagion on social media and the simulation of intervention strategies after a disaster event: a modeling study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Ziyuan Liu & Zhi Li & Weiming Chen & Yunpu Zhao & Hanxun Yue & Zhenzhen Wu, 2020. "Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm," IJERPH, MDPI, vol. 17(16), pages 1-18, August.

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