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Contact Network Model with Covert Infection

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Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7929))

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Abstract

Through analyzing the type of infected population, a contact model with covert infection is introduced. The stability of this model in small world network is studied according to the property of contact network. To the difference of immune pattern, the effectiveness and feasibility of the proposed model is validated.

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Author information

Authors and Affiliations

  1. Complex System and Computer Intelligence Laboratory, Taiyuan University of Science& Technology, Taiyuan, 030024, China

    Xiaomei Yang & Jianchao Zeng

  2. School of Management, Shanxi University, Taiyuan, 030006, China

    Xiaomei Yang & Jiye Liang

Authors
  1. Xiaomei Yang
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  2. Jianchao Zeng
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  3. Jiye Liang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), School of lectronics Engineering and Computer Science, Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 215123, Suzhou, China

    Yuhui Shi

  3. Automation College, Harbin Engineering University, 150001, Harbin, China

    Hongwei Mo

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© 2013 Springer-Verlag Berlin Heidelberg

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Yang, X., Zeng, J., Liang, J. (2013). Contact Network Model with Covert Infection. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-38715-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38714-2

  • Online ISBN: 978-3-642-38715-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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