Considering that the traditional calculation of community discovery can not find the shortcomings of the core and boundary members of the community,this paper puts forward Blog community discovery algorithm based on soft clustering algorithm PCM to identify the core and boundary of the Blog community.

Web page ranking algorithm combined with community discovery;

The automatic search and community discovery in large and complex network has important practical applications.

Most researches on blog mainly concentrate on blog definition and identification,content mining,community discovery,importance analysis,blog search and spam blog identification.

As to the obtained bipartite network, it presents an information-bottleneck-based method for community detection under the information-theoretic framework.

Consequently, community detection technology which is used in information mining has importantly meaning of theory and value of practicality.

Blog Community Discovering Based on Social Network Analysis;

This paper proposes a distributed and scalable community discovering approach namely PDC(Power based Distributed Clustering) for P2P networks.