Clustering Social Audiences in Business Information Networks

•We propose a factorization based clustering algorithm for business Information networks.•The method performs co-clustering on features and customers simultaneously.•The method provides a better understanding of functional roles of customers for companies.•Results on 13 real enterprise datasets demonstrate the effectiveness of our algorithm.