Conference proceeding
A content and social network approach of bibliometrics analysis across domains
Proceedings of the 2012 iConference, pp 515-517
07 Feb 2012
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.
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4 citations in Scopus
Details
- Title
- A content and social network approach of bibliometrics analysis across domains
- Creators
- Christopher Yang - Drexel UniversityXuning Tang - Drexel University
- Publication Details
- Proceedings of the 2012 iConference, pp 515-517
- Conference
- 2012 iConference
- Series
- iConference '12
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84863257550
- Other Identifier
- 991019173987904721