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Fuzzy Overlapping Community Detection in Multi-relational Networks

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Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) (SoCPaR 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 614))

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Abstract

Recognizing the latent community structure in the multi-relational networks has garnered inexorable attention by the researchers in the recent years. However, detecting overlapping communities in such complex networks is still an open research issue. There are two different types of overlapping possible in the network: crisp and fuzzy. In the network with crisp overlapping community structure, a node fully belongs to one or more communities at the same time. With fuzzy overlapping in the communities, a node can simultaneously belong to multiple clusters with different belonging factors. In this article, we attempt to discover fuzzy overlapping communities in multi-relational networks by combining non-negative matrix factorization, cluster ensemble approach and fuzzy c-means clustering. An extensive experimental study is performed on publicly available Twitter and YouTube datasets. The results obtained are promising and establish the efficacy of our scheme.

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Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Ankita Verma & K. K. Bharadwaj

Authors
  1. Ankita Verma
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  2. K. K. Bharadwaj
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Corresponding author

Correspondence to Ankita Verma .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. VIT University, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. School of Engineering, Polytechnic of Porto (ISEP/IPP), Porto, Portugal

    Ana Maria Madureira

  4. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Verma, A., Bharadwaj, K.K. (2018). Fuzzy Overlapping Community Detection in Multi-relational Networks. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_64

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  • DOI: https://doi.org/10.1007/978-3-319-60618-7_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60617-0

  • Online ISBN: 978-3-319-60618-7

  • eBook Packages: EngineeringEngineering (R0)

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