@article{Jiang20091479, abstract = {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.}, author = {Jiang, Jeffrey Q. and Dress, Andreas W.M. and Yang, Genke}, doi = {10.1016/j.aml.2009.02.005}, interhash = {08fe9886403ff8d2564fca447aef8172}, intrahash = {d9a603d42a7379d13d8a04404bb951cc}, issn = {0893-9659}, journal = {Applied Mathematics Letters}, number = 9, pages = {1479 - 1482}, title = {A spectral clustering-based framework for detecting community structures in complex networks}, url = {http://www.sciencedirect.com/science/article/B6TY9-4W6XYH5-5/2/693a9ed19784792496c83e96b4fa828b}, volume = 22, year = 2009 }