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%0 Journal Article
%A Jiang, Jeffrey Q.; Dress, Andreas W.M. & Yang, Genke
%D 2009
%T A spectral clustering-based framework for detecting community structures in complex networks
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%B Applied Mathematics Letters
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%V 22
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%N 9
%P 1479 - 1482
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%@ 0893-9659
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%F Jiang20091479
%K detection, clustering, spectral, community, COMMUNE
%X Exploring recent developments in spectral clustering, we discovered that relaxing a spectral reformulation of Newman's Q-measure (a measure that may guide the search for-and help to evaluate the fit of - community structures in networks) yields a new framework for use in detecting fuzzy communities and identifying so-called unstable nodes. In this note, we present and illustrate this approach, which we expect to further enhance our understanding of the intrinsic structure of networks and of network-based clustering procedures. We applied a variation of the fuzzy k-means algorithm, an instance of our framework, to two social networks. The computational results illustrate its potential.
%Z 
%U http://www.sciencedirect.com/science/article/B6TY9-4W6XYH5-5/2/693a9ed19784792496c83e96b4fa828b
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