Book chapter
A Trend Analysis of Domain-Specific Literatures with Content and Co-author Network Similarity
The Outreach of Digital Libraries: A Globalized Resource Network, pp 73-76
2012
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.
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1 citations in Scopus
Details
- Title
- A Trend Analysis of Domain-Specific Literatures with Content and Co-author Network Similarity
- Creators
- Christopher C. Yang - Drexel UniversityXuning Tang - Drexel UniversityMin Song - Yonsei UniversitySuyeon Kim - Yonsei UniversitySeung-Lae Kim - Decision Sciences (and Management Information Systems)
- Publication Details
- The Outreach of Digital Libraries: A Globalized Resource Network, pp 73-76
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science; Decision Sciences (and Management Information Systems)
- Scopus ID
- 2-s2.0-84869061320
- Other Identifier
- 991019173969204721