Abstract: Microblog has gradually become an important carrier of public opinion communication. The opinion leaders in online public opinion play a driving role in the process of public opinion communication. It is necessary to explore the opinion leaders in microblog for the management of social network public opinion. Considering microblog users' behaviors such as forwarding comments in the network, a two-layer network of microblog users' “forwarding comments”is constructed. By introducing the influence contribution factor and weight factor of users' interaction behavior to mine users' influence, a microblog users' influence evaluation algorithm based on Hits improved algorithm is proposed. The experimental results show that the F-score comprehensive index score of this model is better than PageRank algorithm and Hits algorithm. It can more accurately identify opinion leaders in microblogging community topics, effectively calculate the actual influence of microblogging users, and more accurately and effectively identify opinion leaders in a certain topic of microblogging community, which can provide reference for research on opinion leaders mining in social networks.

Key words: opinion leaders, comment network, forwarding network, Hits algorithm