Epidemic spreading on random surfer networks with infected avoidance strategy |
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| Affiliation: | 1. Department of Automation, School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China;
2. College of Automation, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | In this paper, we study epidemic spreading on random surfer networks with infected avoidance(IA) strategy. In particular, we consider that susceptible individuals' moving direction angles are affected by the current location information received from infected individuals through a directed information network. The model is mainly analyzed by discrete-time numerical simulations. The results indicate that the IA strategy can restrain epidemic spreading effectively. However,when long-distance jumps of individuals exist, the IA strategy's effectiveness on restraining epidemic spreading is heavily reduced. Finally, it is found that the influence of the noises from information transferring process on epidemic spreading is indistinctive. |
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| Keywords: | epidemic spreading SIS model random surfer networks |
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