Abstract: Systems and methods for analyzing student retention rates are disclosed. The systems and methods disclosed construct networks of students based on data associated with financial transactions conducted by those students. The systems and methods analyze the networks of students to calculate network features associated with the networks and utilize those network features to forecast student retention. The network features analyzed include node appearance metrics, degree metrics, and edge metrics. The systems and methods may also utilize campus integration metrics calculated from data associated with financial transactions conducted by students to forecast student retention.