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Overlapping Community Discovery Methods: A Survey

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Social Networks: Analysis and Case Studies

Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

The detection of overlapping communities is a challenging problem which is gaining increasing interest in recent years because of the natural attitude of individuals, observed in real-world networks, to participate in multiple groups at the same time. This review gives a description of the main proposals in the field. Besides the methods designed for static networks, some new approaches that deal with the detection of overlapping communities in networks that change over time, are described. Methods are classified with respect to the underlying principles guiding them to obtain a network division in groups sharing part of their nodes. For each of them we also report, when available, computational complexity and web site address from which it is possible to download the software implementing the method.

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Authors and Affiliations

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

    Alessia Amelio & Clara Pizzuti

Authors
  1. Alessia Amelio
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  2. Clara Pizzuti
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Correspondence to Clara Pizzuti .

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Editors and Affiliations

  1. Computer and Informatics Department, Istanbul Technical University, Istanbul, Turkey

    Şule Gündüz-Öğüdücü

  2. Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey

    A. Şima Etaner-Uyar

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Amelio, A., Pizzuti, C. (2014). Overlapping Community Discovery Methods: A Survey. In: Gündüz-Öğüdücü, Ş., Etaner-Uyar, A. (eds) Social Networks: Analysis and Case Studies. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1797-2_6

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  • DOI: https://doi.org/10.1007/978-3-7091-1797-2_6

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  • Print ISBN: 978-3-7091-1796-5

  • Online ISBN: 978-3-7091-1797-2

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