Epidemic Dynamics with Feedback Mechanism in Exponential Networks

Chin. Phys. Lett.

2006, Vol. 23

Issue (5): 1343-1346 DOI:

Original Articles

Epidemic Dynamics with Feedback Mechanism in Exponential Networks

LIU Zi-Ran;YAN Jia-Ren;ZHANG Jian-Guo;WANG Li

Department of Physics, Hunan Normal University, Changsha 410081

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LIU Zi-Ran, YAN Jia-Ren, ZHANG Jian-Guo et al 2006 Chin. Phys. Lett. 23 1343-1346

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Abstract 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) λ_c. These results can help us to understand epidemic spreading phenomena on social networks more practically and design appropriate strategies to control social infections.

Keywords: 89.75.Fb 87.23.Ge 64.60.Ht

Published: 01 May 2006

PACS:	89.75.Fb	(Structures and organization in complex systems)
	87.23.Ge	(Dynamics of social systems)
	64.60.Ht	(Dynamic critical phenomena)

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https://cpl.iphy.ac.cn/ OR https://cpl.iphy.ac.cn/Y2006/V23/I5/01343

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