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A Memetic Algorithm for Community Detection in Bipartite Networks

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10637))

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Abstract

Community detection is a basic tool to analyze complex networks. However, there are many community detection methods for unipartite networks while just a few methods for bipartite networks (BNs). In this paper, we propose a memetic algorithm (MACD-BNs) to identify communities in BNs. We use MACD-BNs to optimize two extended measures, namely Baber modularity (Q B ) and modularity density (Q D ), on real-life and synthetic networks respectively so as to compare their performance. We conclude that Q D are more effective than Q B when the size of communities is heterogeneous while Q B is more suitable to detect communities with similar size. Besides, we also make a comparison between MACD-BNs and other community detection method and the results show the effectiveness of MACD-BNs.

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Acknowledgement

This work is partially supported by the Outstanding Young Scholar Program of National Natural Science Foundation of China (NSFC) under Grant 61522311, the Overseas, Hong Kong & Macao Scholars Collaborated Research Program of NSFC under Grant 61528205, and the Key Program of Fundamental Research Project of Natural Science of Shaanxi Province, China under Grant 2017JZ017.

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Authors and Affiliations

  1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, 710071, China

    Xiaodong Wang & Jing Liu

Authors
  1. Xiaodong Wang
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  2. Jing Liu
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Corresponding author

Correspondence to Jing Liu .

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Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Wang, X., Liu, J. (2017). A Memetic Algorithm for Community Detection in Bipartite Networks. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10637. Springer, Cham. https://doi.org/10.1007/978-3-319-70093-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-70093-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70092-2

  • Online ISBN: 978-3-319-70093-9

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