Set Pair Community Mining and Situation Analysis Based on Web Social Network

Abstract

With regard to the uncertain and ambiguous problems in Web community, this paper uses the established set pair social network model and the integration community mining method to propose a set pair community mining algorithms with situation analysis and to study its trends. Firstly, the set is defined on the basis of the social network model, set pair community is defined according to the features of community; secondly, through calculating the set pair community links between the two degree of body to build relations contact matrix, to give the corresponding threshold value in order to cluster set pair social networks and to find the minimum and maximum community of set of social networks; finally, this paper designs a set pair community-mining algorithm, and conducts situation of minimum and maximum community. The analysis shows that the development trends of set pair community have a close relation with the strength of community relations contact situation.