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Three-Way Decision Based Overlapping Community Detection

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Book cover Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

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Abstract

The three-way decision based overlapping community detection algorithm (OCDBTWD) divides the vesting relationship between communities into three types: completely belong relation, completely not belong relation and incompletely belong relation, and it uses the positive domain, negative domain and boundary domain to describe those vesting relationships respectively. OCDBTWD defines the similarity between communities to quantify the conditional probability when two communities have the vesting relationship, and uses the increment values of extended modularity to reflect the inclusion ratio thresholds. OCDBTWD uses the three-way decision to decide the vesting relationship between communities to guide the merger of them. When the vesting relationship between communities is incompletely belong relation, then the overlapping vertex detection algorithm (OVDA) is proposed to detect overlapping vertices. OCDBTWD has been tested on both synthetic and real world networks and also compared with other algorithms. The experiments demonstrate its feasibility and efficiency.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Nanjing University, Nanjing, China

    Youli Liu, Lei Pan, Chongjun Wang & Junyuan Xie

  2. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

    Youli Liu, Lei Pan, Chongjun Wang & Junyuan Xie

  3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

    Xiuyi Jia

Authors
  1. Youli Liu
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  2. Lei Pan
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  3. Xiuyi Jia
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  4. Chongjun Wang
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  5. Junyuan Xie
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Editor information

Editors and Affiliations

  1. Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  2. Maria Curie-Skłodowska University, Lublin, Poland

    Marcin Wolski

  3. University of Granada, Spain

    Chris Cornelis

  4. Indian Statistical Institute, 700108, Kolkata, India

    Sushmita Mitra

  5. University of Warsaw, 02-097, Warsaw, Poland

    Piotr Wasilewski

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Liu, Y., Pan, L., Jia, X., Wang, C., Xie, J. (2013). Three-Way Decision Based Overlapping Community Detection. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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