WebScore: An Effective Page Scoring Approach for Uncertain Web Social Networks

摘要: To effectively score pages with uncertainty in web social networks, we first proposed a new concept called transition probability matrix and formally defined the networks. Second, hybrid page scoring algorithm, WebScore, based on PageRank algorithm three centrality measures including degree, betweenness, closeness. Particularly, WebScore takes into full consideration of networks by computing from one to another. The basic idea is to: (1) integrate order accurately rank pages, (2) apply calculate importance In verify performance developed network analysis system which can partition distinct groups them an effective fashion. Finally, conducted extensive experiments real data results show that at uncertain less time deficiency than algorithms.