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A fast community detection method in bipartite networks by distance dynamics

Sun, Hong-Liang; Ch'ng, Eugene; Yong, Xi; Garibaldi, Jonathan M.; See, Simon; Chen, Duan-Bing

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Authors

Hong-Liang Sun

Eugene Ch'ng

Xi Yong

Simon See

Duan-Bing Chen



Abstract

Many real bipartite networks are found to be divided into two-mode communities. In this paper, we formulate a new two-mode community detection algorithm BiAttractor. It is based on distance dynamics model Attractor proposed by Shao et al. with extension from unipartite to bipartite networks. Since Jaccard coefficient of distance dynamics model is incapable to measure distances of different types of vertices in bipartite networks, our main contribution is to extend distance dynamics model from unipartite to bipartite networks using a novel measure Local Jaccard Distance (LJD). Furthermore, distances between different types of vertices are not affected by common neighbors in the original method. This new idea makes clear assumptions and yields interpretable results in linear time complexity O(jEj) in sparse networks, where jEj is the number of edges. Experiments on synthetic networks demonstrate it is capable to overcome resolution limit compared with existing other methods. Further research on real networks shows that this model can accurately detect interpretable community structures in a short time.

Citation

Sun, H.-L., Ch'ng, E., Yong, X., Garibaldi, J. M., See, S., & Chen, D.-B. (2018). A fast community detection method in bipartite networks by distance dynamics. Physica A: Statistical Mechanics and its Applications, 496, https://doi.org/10.1016/j.physa.2017.12.099

Journal Article Type Article
Acceptance Date Dec 19, 2017
Online Publication Date Dec 30, 2017
Publication Date Apr 15, 2018
Deposit Date Dec 21, 2017
Publicly Available Date Dec 31, 2018
Journal Physica A: Statistical Mechanics and its Applications
Print ISSN 0378-4371
Electronic ISSN 0378-4371
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 496
DOI https://doi.org/10.1016/j.physa.2017.12.099
Keywords Node similarity; Community detection; Large bipartite networks
Public URL https://nottingham-repository.worktribe.com/output/925086
Publisher URL https://www.sciencedirect.com/science/article/pii/S0378437117313481
Contract Date Dec 21, 2017

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