Social Influence Analysis Using Mobile Phone Dataset

In this paper, we perform social influence analysis using a massive mobile phone dataset with two applications that are salient to the success of Mobile Network Operators (MNO). More specifically, we identify the role of social influence in subscriber churn and smartphone adoption, by applying robust identification strategies to separate social influence from confounding factors such as homophily. We also leverage network structures and position of each individual to account for heterogeneous social influence.