A content and social network approach of bibliometrics analysis across domains

  • Authors:
  • Christopher C. Yang;Xuning Tang

  • Affiliations:
  • Drexel University;Drexel University

  • Venue:
  • Proceedings of the 2012 iConference
  • Year:
  • 2012

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Abstract

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.