In microblog network

emotion propagates among users and infects user behavior.These emotional behaviors have an important impact on the microblog network or even the real world

so finding emotional influencers in microblog network is very significant for society management or marketing strategies.In this paper

a heterogeneous microblog network that contains two types of nodes (user

microblog) and three types of relations (forwarding

following

posting) is constructed.Utilizing the similarity of microblogs' emotion and users' emotional behavior

the heterogeneous network is transformed to be a homogeneous network that contains only users.Random walk model is employed to find emotional influencers in this network.Our contribution is summarized as follows:we verify emotional homophily in the microblog network constructed by our dataset

which confirms the existence of emotional influence in this network;we propose a novel model (EmotionRank) to find emotional influencers;experimental results effectively illustrate the utility and superiority of EmotionRank.