A trend analysis of domain-specific literatures with content and co-author network similarity

Abstract

By examining scientific literatures over a period of time, we see new topics being developed and new contributing researchers are participating. In this work, we explore the content similarity and co-authorship network similarity to gain a better understanding of the scientific literature development. In particular, we are interested in three domains namely, database (DB), information retrieval (IR), and World Wide Web (W3), as well as the journal Information Processing & Management. We finds that Information Processing & Management has a trend of increasing similarity with IR and W3 instead of DB. © 2012 Springer-Verlag.