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Overlapping Community Structure and Modular Overlaps in Complex Networks

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Mining Social Networks and Security Informatics

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

Abstract

In order to find overlapping community structure of complex networks, many researchers make endeavours. Here, we first discuss some existing functions proposed for measuring the quality of overlapping community structure. Second, we propose a novel algorithm called fuzzy detection for overlapping community detection. Our new method benefits from an existing partition detection technique and aims at identifying modular overlaps. A modular overlap is a group of overlapping nodes. Therefore, the overlaps shared by several communities are possibly grouped into several different modular overlaps. The results in synthetic networks and real networks demonstrate that our method can uncover and characterize meaningful overlapping nodes.

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Notes

  1. 1.

    http://snap.stanford.edu/data/wiki-Vote.html.

  2. 2.

    We do not mark “Sunbelt2” due to the visualization, since its position is too close to “CentralFlorida” in the figure.

  3. 3.

    In [18], the community which has size roughly 100 nodes is good.

  4. 4.

    We compute the frequency of topic keywords by aggregating the number of units (article), i.e., if only one unite contains the topic keywords “Neurons”, the corresponding frequency is 1.

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Author information

Authors and Affiliations

  1. DNET (ENS-Lyon/LIP Laboratoire de l’Informatique du Parallélisme/INRIA Grenoble Rhône-Alpes), Lyon, France

    Qinna Wang & Eric Fleury

Authors
  1. Qinna Wang
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  2. Eric Fleury
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Corresponding author

Correspondence to Qinna Wang .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, TOBB University, Sogutozu Cad No. 43, Sogutozu Ankara, Turkey

    Tansel Özyer

  2. Information Technologies Institute, TUBITAK BILGEM, Gebze, Kocaeli, 41470, Turkey

    Zeki Erdem

  3. Computer Science, University of Calgary, University Dr. NW 2500, Calgary, T2N 1N4, Canada

    Jon Rokne

  4. American University of Sharjah, Universities City, Sharjah, Saudi Arabia

    Suheil Khoury

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Wang, Q., Fleury, E. (2013). Overlapping Community Structure and Modular Overlaps in Complex Networks. In: Özyer, T., Erdem, Z., Rokne, J., Khoury, S. (eds) Mining Social Networks and Security Informatics. Lecture Notes in Social Networks. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6359-3_2

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  • DOI: https://doi.org/10.1007/978-94-007-6359-3_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6358-6

  • Online ISBN: 978-94-007-6359-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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