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International Conference on Engineering Applications of Neural Networks

EANN 2017: Engineering Applications of Neural Networks pp 559–569Cite as

An Implementation of Disease Spreading over Biological Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 744))

Abstract

Complex networks can be considered as a new field of scientific research inspired by the empirical study of real-world networks such as computer, social as well as biological ones. More to this point, the study of complex networks has expanded in many disciplines including mathematics, physics, biology, telecommunications, computer science, sociology, epidemiology and others. An important type of complex networks are called biological dealing with the mathematical analysis of connections - interfaces that are ecological, evolutionary and physiological studies, such as neural networks or network epidemic models. The analysis of biological networks in connection with human diseases has led to expand science and examine medical supplies networks for their deeper understanding. In this paper, an implementation of epidemic/networks models is introduced concerning the HIV spreading in a sample of people who are needle drug users.

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Notes

  1. 1.

    http://www.cs.vt.edu/undergraduate/courses.

  2. 2.

    http://www.necsi.edu/guide/concepts/powerlaw.html.

  3. 3.

    http://www.emcdda.europa.eu/.

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Author information

Authors and Affiliations

  1. Computer Engineering and Informatics Department, University of Patras, Patras, Greece

    Nickie Lefevr, Andreas Kanavos & Athanasios Tsakalidis

  2. Department of Computer Engineering, Technological Educational Institute of Epirus, Arta, Greece

    Spiridoula Margariti

Authors
  1. Nickie Lefevr
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  2. Spiridoula Margariti
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  3. Andreas Kanavos
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  4. Athanasios Tsakalidis
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Corresponding author

Correspondence to Andreas Kanavos .

Editor information

Editors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Giacomo Boracchi

  2. Democritus University of Thrace, University Campus, Xanthi, Greece

    Lazaros Iliadis

  3. School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom

    Chrisina Jayne

  4. Univesity of Ioannina, Ioannina, Greece

    Aristidis Likas

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Lefevr, N., Margariti, S., Kanavos, A., Tsakalidis, A. (2017). An Implementation of Disease Spreading over Biological Networks. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-65172-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-65172-9_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65171-2

  • Online ISBN: 978-3-319-65172-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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