VeTo: Expert Set Expansion in Academia Full text

Thanasis Vergoulis, Serafeim Chatzopoulos, Theodore Dalamagas, Christos Tryfonopoulos
TPDL 2020
Abstract. Expanding a set of known domain experts with new individuals, that have similar expertise, is a problem with many practical applications (e.g., adding new members to a conference program committee). In this work, we study this problem in the context of academic experts and we introduce VeTo, a novel method to effectively deal with it by exploiting scholarly knowledge graphs. In particular, VeTo expands the given set of experts by identifying researchers that share similar publishing habits with them, based on a graph analysis approach. Our experiments show that VeTo is more effective than existing techniques that can be applied to deal with the same problem.