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Comparative effects of avoidance and immunization on epidemic spreading in a dynamic small-world network with community structure

  • Computer Science
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Wuhan University Journal of Natural Sciences

Abstract

Considering the actual behavior of people’s short-term travel, we propose a dynamic small-world community network model with tunable community strength which has constant local links and time varying long-range jumps. Then an epidemic model of susceptible-infected-recovered is established based on the mean-field method to evaluate the inhibitory effects of avoidance and immunization on epidemic spreading. And an approximate formula for the epidemic threshold is obtained by mathematical analysis. The simulation results show that the epidemic threshold decreases with the increase of inner-community motivation rate and inter-community long-range motivation rate, while it increases with the increase of immunization rate or avoidance rate. It indicates that the inhibitory effect on epidemic spreading of immunization works better than that of avoidance.

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Authors and Affiliations

  1. College of Computer, Nan**g University of Posts and Telecommunications, Nan**g, 210003, Jiangsu, China

    Chanchan Li

  2. College of Automation, Nan**g University of Posts and Telecommunications, Nan**g, 210003, Jiangsu, China

    Guo** Jiang & Yurong Song

Authors
  1. Chanchan Li
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  2. Guo** Jiang
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  3. Yurong Song
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Corresponding author

Correspondence to Guo** Jiang.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (61374180, 61373136, 61304169), the Research Foundation for Humanities and Social Sciences of Ministry of Education, China (12YJAZH120), the Six Projects Sponsoring Talent Summits of Jiangsu Province, China (RLD201212) and the Natural Science Foundation of Anhui Province (1608085MF127)

Biography: LI Chanchan, female, Ph.D. candidate, research direction: complex network and information security.

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Li, C., Jiang, G. & Song, Y. Comparative effects of avoidance and immunization on epidemic spreading in a dynamic small-world network with community structure. Wuhan Univ. J. Nat. Sci. 21, 291–297 (2016). https://doi.org/10.1007/s11859-016-1173-6

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  • DOI: https://doi.org/10.1007/s11859-016-1173-6

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