A content and social network approach of bibliometrics analysis across domains

Bibliometrics data contain rich co-authorship network, text and temporal information. In this work, we employ a hybrid approach that incorporating content and social network similarity to conduct a bibliometrics analysis across the information retrieval and World Wide Web domains using the DBLP dataset.