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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 13 | Page No.: 2421-2428
DOI: 10.3923/jas.2013.2421.2428
 
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Community Detecting in Bipartite Network Based on Principal Components Analysis

Wei Liu and Ling Chen

Abstract:
The identification of communities is significant for the understanding of network structures and functions. In this study, we propose a framework to address the problem of community detection in bipartite networks based on principal components analysis. We apply the algorithm to real-world network data, showing that the algorithm successfully finds meaningful community structures of bipartite networks.
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How to cite this article:

Wei Liu and Ling Chen, 2013. Community Detecting in Bipartite Network Based on Principal Components Analysis. Journal of Applied Sciences, 13: 2421-2428.

DOI: 10.3923/jas.2013.2421.2428

URL: https://scialert.net/abstract/?doi=jas.2013.2421.2428

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