Combining link-based and content-based classification method

Abstract

Link mining is also called social network analysis. It is a new study of data mining. It is different from the traditional data mining methods. Link information is used in link mining. Link information provides richer and more accurate information about the social network. In this paper, a representation is chosen by Graph, Dyad and Subgraph for the statistical inference of mining. And then based on the defining of the graph structure and link type, the model of getting the link features is built. Last a combining link-based and content-based classification method is proposed, and this method is proved to improve the result of classification. © 2011 Springer-Verlag.