TY  - JOUR
AU  - Jiang, Jeffrey Q.
AU  - Dress, Andreas W.M.
AU  - Yang, Genke
T1  - A spectral clustering-based framework for detecting community structures in complex networks
JO  - Applied Mathematics Letters
PY  - 2009/
VL  - 22
IS  - 9
SP  - 1479 
EP  -  1482
UR  - http://www.sciencedirect.com/science/article/B6TY9-4W6XYH5-5/2/693a9ed19784792496c83e96b4fa828b
DO  - 10.1016/j.aml.2009.02.005
KW  - detection
KW  - clustering
KW  - spectral
KW  - community
KW  - COMMUNE
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 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.
ER  -