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SIS model of epidemic spreading on dynamical
networks with community |
Chengyi XIA 1, Shiwen SUN 1, Feng RAO 1, Junqing SUN 1, Jinsong WANG 1, Zengqiang CHEN 2, |
1.Tianjin Key Laboratory
of Intelligence Computing and Novel Software Technology, Tianjin University
of Technology, Tianjin 300191, China;Key Laboratory
of Computer Vision and System of Ministry of Education, Tianjin University
of Technology, Tianjin 300191, China; 2.Department of Automation,
Nankai University, Tianjin 300071, China; |
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Abstract We present a new epidemic Susceptible-Infected-Susceptible (SIS) model to investigate the spreading behavior on networks with dynamical topology and community structure. Individuals in themodel are mobile agentswho are allowed to perform the inter-community (i.e., long-range) motion with the probability p. The mean-field theory is utilized to derive the critical threshold (λC) of epidemic spreading inside separate communities and the influence of the long-range motion on the epidemic spreading. The results indicate that λC is only related with the population density within the community, and the long-range motion will make the original disease-free community become the endemic state. Large-scale numerical simulations also demonstrate the theoretical approximations based on our new epidemic model. The current model and analysis will help us to further understand the propagation behavior of real epidemics taking place on social networks.
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Keywords
Susceptible-Infected-Susceptible (SIS) model
disease propagation
complex network
dynamical topology
community behavior
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Issue Date: 05 September 2009
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