%0 Journal Article %A KONG Jian %A XIE Fuding %A SUN Yan %A ZHAO Fengxia %T Classification method in complex networks based on Semi-supervising %D 2011 %R 10.3778/j.issn.1002-8331.2011.04.013 %J Computer Engineering and Applications %P 47-49 %V 47 %N 4 %X A method for identifying the community structure is proposed in this paper based on semi-supervised model.By introducing the Gravity,the communities structure is detected by calculating relationship between the labeled nodes and the unlabeled nodes.The results of experiment prove that the algorithm can identify the community structure in some real-networks.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2011.04.013