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International Conference on Database and Expert Systems Applications

DEXA 2020: Database and Expert Systems Applications pp 250–265Cite as

A Differential Evolution-Based Approach for Community Detection in Multilayer Networks with Attributes

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12391))

Abstract

A differential evolution based algorithm for detecting community structure in multilayer networks with node attributes is proposed. The method optimizes a fitness function that combines structural connectivity of each layer with node similarity to obtain multilayer communities with high link density and composed by nodes having similar attributes. Experiments on synthetic networks show that the method finds communities almost equal to the ground-truth ones. Moreover, we compared our approach with a clustering method using only the attribute information, and a method which clusters nodes using only the multilayer network structure, on four real-world multilayer networks enriched with attributes. The results point out that the exploitation of the information coming from both all the layers and the node features allows the identification of accurate network divisions.

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Notes

  1. 1.

    mLFR Java code is available at https://www.ii.pwr.edu.pl/~brodka/mlfr.php.

  2. 2.

    See http://moreno.ss.uci.edu/data.html.

  3. 3.

    https://github.com/GenLouvain.

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Authors and Affiliations

  1. Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), via P. Bucci 8-9C, 87036, Rende, CS, Italy

    Clara Pizzuti & Annalisa Socievole

Authors
  1. Clara Pizzuti
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  2. Annalisa Socievole
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Corresponding author

Correspondence to Clara Pizzuti .

Editor information

Editors and Affiliations

  1. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Kotsis

  4. IFS, Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Pizzuti, C., Socievole, A. (2020). A Differential Evolution-Based Approach for Community Detection in Multilayer Networks with Attributes. In: Hartmann, S., Küng, J., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2020. Lecture Notes in Computer Science(), vol 12391. Springer, Cham. https://doi.org/10.1007/978-3-030-59003-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-59003-1_17

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  • Online ISBN: 978-3-030-59003-1

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