关键词: Web社区, 聚类等级, 集成聚合度, 划分

Abstract: Aimming at the deficiency of traditional Web community discovery algorithm and the problem of cluster strength measure，the object of Web community nodes and edges and structure is given.A new cluster strength measure method is researched，in order to settle the problems of community optimal partitioning and subject optimization.Object function of maximal community is presented，community discovery algorithm based on cluster ranking of integrated cohesion is described，and application system is built based on existing information searching kit.The result of experiment shows that the algorithm can fast，effectively search global optimum partition of network structure.This algorithm is highly effective and valuable in practice and academic study.

Key words: Web community, cluster ranking, integrated cohesion, partitioning