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Social Network Community Detection Using Agglomerative Spectral Clustering

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  • Ulzii-Utas Narantsatsralt
  • Sanggil Kang

Abstract

Community detection has become an increasingly popular tool for analyzing and researching complex networks. Many methods have been proposed for accurate community detection, and one of them is spectral clustering. Most spectral clustering algorithms have been implemented on artificial networks, and accuracy of the community detection is still unsatisfactory. Therefore, this paper proposes an agglomerative spectral clustering method with conductance and edge weights. In this method, the most similar nodes are agglomerated based on eigenvector space and edge weights. In addition, the conductance is used to identify densely connected clusters while agglomerating. The proposed method shows improved performance in related works and proves to be efficient for real life complex networks from experiments.

Suggested Citation

  • Ulzii-Utas Narantsatsralt & Sanggil Kang, 2017. "Social Network Community Detection Using Agglomerative Spectral Clustering," Complexity, Hindawi, vol. 2017, pages 1-10, November.
    • Handle: RePEc:hin:complx:3719428
    DOI: 10.1155/2017/3719428
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    References listed on IDEAS

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    1. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
    2. Aaron Clauset & Cristopher Moore & M. E. J. Newman, 2008. "Hierarchical structure and the prediction of missing links in networks," Nature, Nature, vol. 453(7191), pages 98-101, May.
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    Cited by:

    1. Mucunska Palevska, Valentina & Novkovska, Blagica, 2021. "Increasing Use Of Digital Technologies In Function Of Economic Growth In European Countries," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 12(1), pages 84-94.
    2. Xu Han & Deyun Chen & Hailu Yang, 2019. "A Semantic Community Detection Algorithm Based on Quantizing Progress," Complexity, Hindawi, vol. 2019, pages 1-13, January.
    3. Franck Marle & Hadi Jaber & Catherine Pointurier, 2019. "Organizing Project Actors for Collective Decision-Making about Interdependent Risks," Complexity, Hindawi, vol. 2019, pages 1-18, March.

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