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Epidemic Dynamics with Feedback Mechanism in Exponential Networks
作者姓名:刘自然  颜家壬  张建国  王俐
作者单位:Department of Physics, Hunan Normal University, Changsha 410081
基金项目:Supported by the National Natural Science Foundation of China under Grant No 10375022.
摘    要:We introduce a feedback mechanism to study the spreading of an epidemic by analytical methods and large scale simulations in exponential networks. It is found that introducing the feedback mechanism can reduce the density of infected individuals, Furthermore, it does not change the epidemic threshold (critical point) λc. These results can help us to understand epidemic spreading phenomena on social networks more practically and design appropriate strategies to control social infections.

关 键 词:流行性动力学  反馈机制  指数网络  大刻度模拟  非线性物理学
收稿时间:2006-01-03
修稿时间:2006-01-03

Epidemic Dynamics with Feedback Mechanism in Exponential Networks
LIU Zi-Ran, YAN Jia-Ren, ZHANG Jian-Guo, WANG Li.Epidemic Dynamics with Feedback Mechanism in Exponential Networks[J].Chinese Physics Letters,2006,23(5):1343-1346.
Authors:LIU Zi-Ran  YAN Jia-Ren  ZHANG Jian-Guo  WANG Li
Institution:Department of Physics, Hunan Normal University, Changsha 410081
Abstract:
Keywords:
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