The discovered communities can be explored and utilized in a number of important applications such as identifying fraudulent actions in telecommunication networks (Pinheiro 2012), studying dynamics of viral marketing (Leskovec et al. 2007), and identifying target groups in consumer networks (Hill et al. 2006). However, only a few algorithms have been successfully applied to large networks in excess of hundreds of millions of nodes — and to the best of our knowledge, none of them are based on a statistical framework.
