中国物理B ›› 2024, Vol. 33 ›› Issue (12): 128903-128903.doi: 10.1088/1674-1056/ad7df5

• • 上一篇    

Impact of environmental factors on the coevolution of information-emotions-epidemic dynamics in activity-driven multiplex networks

Liang'an Huo(霍良安)1,2, Bingjie Liu(刘炳杰)1, and Xiaomin Zhao(赵晓敏)3,†   

  1. 1 Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China;
    3 School of Management, Shanghai University, Shanghai 200444, China
  • 收稿日期:2024-05-12 修回日期:2024-08-01 接受日期:2024-09-23 发布日期:2024-11-12
  • 通讯作者: Xiaomin Zhao E-mail:zhaoxiaomin@shu.edu.cn
  • 基金资助:
    This work was partially supported by the National Natural Science Foundation of China (Grant No. 72174121), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, and the Natural Science Foundation of Shanghai (Grant No. 21ZR1444100).

Impact of environmental factors on the coevolution of information-emotions-epidemic dynamics in activity-driven multiplex networks

Liang'an Huo(霍良安)1,2, Bingjie Liu(刘炳杰)1, and Xiaomin Zhao(赵晓敏)3,†   

  1. 1 Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China;
    3 School of Management, Shanghai University, Shanghai 200444, China
  • Received:2024-05-12 Revised:2024-08-01 Accepted:2024-09-23 Published:2024-11-12
  • Contact: Xiaomin Zhao E-mail:zhaoxiaomin@shu.edu.cn
  • Supported by:
    This work was partially supported by the National Natural Science Foundation of China (Grant No. 72174121), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, and the Natural Science Foundation of Shanghai (Grant No. 21ZR1444100).

摘要: During public health emergencies, the diffusion of negative information can exacerbate the transmission of adverse emotions, such as fear and anxiety. These emotions can adversely affect immune function and, consequently, influence the spread of the epidemic. In this study, we established a coupled model incorporating environmental factors to explore the coevolution dynamic process of information-emotions-epidemic dynamics in activity-driven multiplex networks. In this model, environmental factors refer to the external conditions or pressures that affect the spread of information, emotions, and epidemics. These factors include media coverage, public opinion, and the prevalence of diseases in the neighborhood. These layers are dynamically cross-coupled, where the environmental factors in the information layer are influenced by the emotional layer; the higher the levels of anxious states among neighboring individuals, the greater the likelihood of information diffusion. Although environmental factors in the emotional layer are influenced by both the information and epidemic layers, they come from the factors of global information and the proportion of local infections among surrounding neighbors. Subsequently, we utilized the microscopic Markov chain approach to describe the dynamic processes, thereby obtaining the epidemic threshold. Finally, conclusions are drawn through numerical modeling and analysis. The conclusions suggest that when negative information increases, the probability of the transmission of anxious states across the population increases. The transmission of anxious states increases the final size of the disease and decreases its outbreak threshold. Reducing the impact of environmental factors at both the informational and emotional levels is beneficial for controlling the scale of the spread of the epidemic. Our findings can provide a reference for improving public health awareness and behavioral decision-making, mitigating the adverse impacts of anxious states, and ultimately controlling the spread of epidemics.

关键词: information diffusion, emotional transmission, epidemic spreading, environmental factors, activity-driven multiplex networks

Abstract: During public health emergencies, the diffusion of negative information can exacerbate the transmission of adverse emotions, such as fear and anxiety. These emotions can adversely affect immune function and, consequently, influence the spread of the epidemic. In this study, we established a coupled model incorporating environmental factors to explore the coevolution dynamic process of information-emotions-epidemic dynamics in activity-driven multiplex networks. In this model, environmental factors refer to the external conditions or pressures that affect the spread of information, emotions, and epidemics. These factors include media coverage, public opinion, and the prevalence of diseases in the neighborhood. These layers are dynamically cross-coupled, where the environmental factors in the information layer are influenced by the emotional layer; the higher the levels of anxious states among neighboring individuals, the greater the likelihood of information diffusion. Although environmental factors in the emotional layer are influenced by both the information and epidemic layers, they come from the factors of global information and the proportion of local infections among surrounding neighbors. Subsequently, we utilized the microscopic Markov chain approach to describe the dynamic processes, thereby obtaining the epidemic threshold. Finally, conclusions are drawn through numerical modeling and analysis. The conclusions suggest that when negative information increases, the probability of the transmission of anxious states across the population increases. The transmission of anxious states increases the final size of the disease and decreases its outbreak threshold. Reducing the impact of environmental factors at both the informational and emotional levels is beneficial for controlling the scale of the spread of the epidemic. Our findings can provide a reference for improving public health awareness and behavioral decision-making, mitigating the adverse impacts of anxious states, and ultimately controlling the spread of epidemics.

Key words: information diffusion, emotional transmission, epidemic spreading, environmental factors, activity-driven multiplex networks

中图分类号:  (Complex systems)

  • 89.75.-k
87.23.Ge (Dynamics of social systems) 87.19.X- (Diseases)