The Impact of Discrimination on the Spread of Infectious Diseases in Complex Networks

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• 作者：Ye Wu (1)
  Mingjie Li (1)
  Jinghua Xiao (1)
  Mehmet A. Orgun (2)
  Liyin Xue (3)
  
• 关键词：Asymptomatic Infectious Characteristics ; Opinion Dynamics ; Discrimination ; Epidemic Dynamics
• 刊名：New Generation Computing
• 出版年：2014
• 出版时间：August 2014
• 年：2014
• 卷：32
• 期：3-4
• 页码：193-211
• 全文大小：1,800 KB
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• 作者单位：Ye Wu (1)
  Mingjie Li (1)
  Jinghua Xiao (1)
  Mehmet A. Orgun (2)
  Liyin Xue (3)
  
  1. School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  2. Department of Computing, Macquarie University, Sydney, NSW, 2109, Australia
  3. Corporate Analytics, Australian Taxation Office, Sydney, NSW, 2000, Australia
  
• ISSN：1882-7055

文摘

This paper proposes a novel model combining an epidemic dynamics and an opinion dynamics to investigate the impact of epidemic-related opinion dynamics on the spreading of infectious diseases in complex networks. We assume that, the outcomes of opinion dynamics on the behavior of asymptomatically infected individuals who have known their infected state, could not only reduce their transmission probabilities, but also could increase their transmission probabilities. This assumption has rarely been considered for modeling the interactions among epidemic dynamics, opinion dynamics and the exchange of human behaviors. We find that when the epidemic-related opinion dynamics exist, a higher randomness of individuals will simultaneously lead to a higher prevalence of infectious diseases and a lower social discrimination perceived by infected individuals. Furthermore, if the positive external global impact exceeds a certain critical value, there is an abrupt disappearance of infection owing to the contribution of opinion dynamics. Based on our results, some suggestions are given to reduce the spreading of epidemic diseases.