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Link Similarity Reveals Multiscale Link Communities

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10th International Conference on Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 368))

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Abstract

Overlapping community detection has been a hot topic in the research of complex network. In this paper, we proposed a novel link clustering method (NLC) for overlapping community detection. The method is consisted of two main steps. First step is a link similarity. The link similarity is to use a link similarity with a property of convergence to consider relationship of undirected links. The second step combines Markov Clustering Method with link similarity matrix got by first step with an extended measure of quality of modularity to determine the best partition of link communities. Extensive experiments on real world networks show our method is more reliable and reasonable than the other compared algorithms. Through varying parameters of our link similarity, our NLC method reveals multiscale link communities.

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Acknowledgement

This work is supported by the National Natural Science Fund Project of China (61472159) and the Science & Technology Development Projects of Jilin Province (20121805, 20140101180JC) and Graduate Innovation Fund of Jilin University (2014092).

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, 130012, Changchun, China

    Guishen Wang & Lan Huang

Authors
  1. Guishen Wang
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  2. Lan Huang
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Corresponding author

Correspondence to Lan Huang .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. C/ López Bravo 70, Pol. Ind. Villalonquejar, Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  3. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Bruno Baruque

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Wang, G., Huang, L. (2015). Link Similarity Reveals Multiscale Link Communities. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-19719-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19718-0

  • Online ISBN: 978-3-319-19719-7

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