Abstract
For the certainty or uncertainty relation in Web social networks, the concept of the relationship communities of a given threshold is proposed in this paper. Firstly, the set pair social networks are built by set pair analysis method, and the strength of relationship between any nodes is greater than the given threshold ; secondly, the mining algorithms of dynamic relationship community are designed through the dynamic nature of Web social networks, finally, through the collection of the DBLP data set to make extraction, classification, community mining and relationship between analysis and other experiments. The results show that the algorithm is high efficiency. Also demonstrate the excavation of relation community can better reflect the dynamic of the community and for their potential relationship to further carry out excavation.
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