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Information theoretic description of networks

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  • Wilhelm, Thomas
  • Hollunder, Jens

Abstract

We present a new information theoretic approach for network characterizations. It is developed to describe the general type of networks with n nodes and L directed and weighted links, i.e., it also works for the simpler undirected and unweighted networks. The new information theoretic measures for network characterizations are based on a transmitter–receiver analogy of effluxes and influxes. Based on these measures, we classify networks as either complex or non-complex and as either democracy or dictatorship networks. Directed networks, in particular, are furthermore classified as either information spreading and information collecting networks.

Suggested Citation

  • Wilhelm, Thomas & Hollunder, Jens, 2007. "Information theoretic description of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 385-396.
    • Handle: RePEc:eee:phsmap:v:385:y:2007:i:1:p:385-396
    DOI: 10.1016/j.physa.2007.06.029
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. E. M. S. Ribeiro & G. A. Prataviera, 2014. "Information theoretic approach for accounting classification," Papers 1401.2954, arXiv.org, revised Sep 2014.
    2. Ribeiro, E.M.S. & Prataviera, G.A., 2014. "Information theoretic approach for accounting classification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 651-660.
    3. Kim, Jongkwang & Wilhelm, Thomas, 2008. "What is a complex graph?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2637-2652.
    4. Aki-Hiro Sato, 2012. "Econoinformatics meets Data-Centric Social Sciences," Papers 1210.4643, arXiv.org, revised Apr 2013.
    5. Dehmer, Matthias & Emmert-Streib, Frank & Shi, Yongtang, 2015. "Graph distance measures based on topological indices revisited," Applied Mathematics and Computation, Elsevier, vol. 266(C), pages 623-633.
    6. Modjtaba Ghorbani & Matthias Dehmer & Frank Emmert-Streib, 2020. "Properties of Entropy-Based Topological Measures of Fullerenes," Mathematics, MDPI, vol. 8(5), pages 1-23, May.
    7. Saha, Papri & Sarkar, Debasish, 2022. "Allometric scaling of von Neumann entropy in animal connectomes and its evolutionary aspect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    8. Frank Aangel Hernández-Mira & José Luis Rosas-Acevedo & Maximino Reyes-Umaña & Juan Violante-González & José María Sigarreta-Almira & Nodari Vakhania, 2021. "Multimetric Index to Evaluate Water Quality in Lagoons: A Biological and Geomorphological Approach," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    9. Jones, Dominic & Jensen, Henrik Jeldtoft & Sibani, Paolo, 2010. "Mutual information in the Tangled Nature model," Ecological Modelling, Elsevier, vol. 221(3), pages 400-404.

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