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A Review on Network Robustness from an Information Theory Perspective

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Discrete Optimization and Operations Research (DOOR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9869))

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Abstract

The understanding of how a networked system behaves and keeps its topological features when facing element failures is essential in several applications ranging from biological to social networks. In this context, one of the most discussed and important topics is the ability to distinguish similarities between networks. A probabilistic approach already showed useful in graph comparisons when representing the network structure as a set of probability distributions, and, together with the Jensen-Shannon divergence, allows to quantify dissimilarities between graphs. The goal of this article is to compare these methodologies for the analysis of network comparisons and robustness.

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Notes

  1. 1.

    Higher degree nodes have a bigger probability of getting new connections.

  2. 2.

    The nodes fail in decreasing order of centrality.

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Acknowledgments

Research is partially by supported by the Laboratory of Algorithms and Technologies for Network Analysis, National Research University Higher School of Economics, CNPq and FAPEMIG, Brazil.

Author information

Authors and Affiliations

  1. Departamento de Engenharia de Produção, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil

    Tiago Schieber & Martín Ravetti

  2. Departamento de Engenharia de Produção, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil

    Tiago Schieber

  3. Center for Applied Optimization, Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  4. Laboratory of Algorithms and Technologies for Network Analysis, National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Panos M. Pardalos

Authors
  1. Tiago Schieber
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  2. Martín Ravetti
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  3. Panos M. Pardalos
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Corresponding author

Correspondence to Tiago Schieber .

Editor information

Editors and Affiliations

  1. Sobolev Institute of Mathematics , Novosibirsk, Russia

    Yury Kochetov

  2. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  3. Sobolev Institute of Mathematics , Novosibirsk, Russia

    Vladimir Beresnev

  4. Far Eastern Federal University , Vladivostik, Russia

    Evgeni Nurminski

  5. University of Florida , Gainesville, Florida, USA

    Panos Pardalos

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© 2016 Springer International Publishing Switzerland

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Schieber, T., Ravetti, M., Pardalos, P.M. (2016). A Review on Network Robustness from an Information Theory Perspective. In: Kochetov, Y., Khachay, M., Beresnev, V., Nurminski, E., Pardalos, P. (eds) Discrete Optimization and Operations Research. DOOR 2016. Lecture Notes in Computer Science(), vol 9869. Springer, Cham. https://doi.org/10.1007/978-3-319-44914-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-44914-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44913-5

  • Online ISBN: 978-3-319-44914-2

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