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Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6623))

Abstract

In this work we analyze the complexity of a disease that spreads among two populations and in which the transmission routes are available only throught individuals of the two different families. This peculiar route is typical of diseases such as sexual transmitted diseases on heterosexual populations or vector-host diseases such as tick-borne encephalitis or Lyme borreliosis. In such epidemiological scenarios, the contact network is naturally represented by a bipartite graphs. In this article we determine that a pathogen agent spreading on a bipartite network can have some evolutionary benefits with respect to diffusing on standard unipartite networks.

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Author information

Authors and Affiliations

  1. Complex Systems Unit, Molecular Biotechnology Center, University of Torino, Italy

    Luca Ferreri & Mario Giacobini

  2. Department of Animal Production, Epidemiology and Ecology Faculty of Veterinary Medicine, University of Torino, Italy

    Luca Ferreri & Mario Giacobini

  3. Department of Mathematics “Giuseppe Peano“, University of Torino, Italy

    Ezio Venturino

Authors
  1. Luca Ferreri
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  2. Ezio Venturino
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  3. Mario Giacobini
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Editor information

Editors and Affiliations

  1. Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR), Via P. Bucci 41C, 87036 Rende, (CS), Italy

    Clara Pizzuti

  2. Center for Human Genetics Research, Vanderbilt University, 519 Light Hall, TN 37232, Nashville, USA

    Marylyn D. Ritchie

  3. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, (TO), Italy

    Mario Giacobini

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© 2011 Springer-Verlag Berlin Heidelberg

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Ferreri, L., Venturino, E., Giacobini, M. (2011). Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?. In: Pizzuti, C., Ritchie, M.D., Giacobini, M. (eds) Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. EvoBIO 2011. Lecture Notes in Computer Science, vol 6623. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20389-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-20389-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20388-6

  • Online ISBN: 978-3-642-20389-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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