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Complex Networks in the Epidemic Modelling

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10191))

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Abstract

The spread of infectious diseases is analyzed in the paper using social networks. Study of this phenomenon is very important due to the safety of all of us. After the analysis of properties of generated networks using known algorithms a novel method for generating scale-free complex networks was proposed. Features of the epidemic course were studied using computer experiments. The proposed method was compared with three known strategies in terms of influence of vaccination strategies on the tempo and mode of epidemic spread and the number of infected individuals.

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Author information

Authors and Affiliations

  1. Department of Computational Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland

    Tomasz Biegus & Halina Kwasnicka

Authors
  1. Tomasz Biegus
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  2. Halina Kwasnicka
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Corresponding author

Correspondence to Halina Kwasnicka .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology , Wrocław, Poland

    Bogdan Trawiński

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Biegus, T., Kwasnicka, H. (2017). Complex Networks in the Epidemic Modelling. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-54472-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54471-7

  • Online ISBN: 978-3-319-54472-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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