Identifying TOP-N opinion leaders on local social network

Opinion leaders have an important influence on message propagation, so how to find opinion leaders efficiently is significance for further studying. In this paper, we proposed synthesize centrality as a new method to find opinion leaders. PageRank and HITS are presented to ranking influential, experimental results show that large overlap exists between SC and PageRank and HITS. If a user is an opinion leader with SC, it is likely to be opinion leaders with PageRank and HITS. And SC has a higher accuracy in finding opinion leaders than PageRank and HITS.