%0 Journal Article
%1 Jiang20091479
%A Jiang, Jeffrey Q.
%A Dress, Andreas W.M.
%A Yang, Genke
%D 2009
%J Applied Mathematics Letters
%K COMMUNE clustering community detection spectral
%N 9
%P 1479 - 1482
%T A spectral clustering-based framework for detecting community structures in complex networks
%U http://www.sciencedirect.com/science/article/B6TY9-4W6XYH5-5/2/693a9ed19784792496c83e96b4fa828b
%V 22
%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.