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

Christopher C. Yang; Xuning Tang; Min Song; Suyeon Kim

doi:10.1007/978-3-642-34752-8_10

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

Christopher C. Yang, Xuning Tang, Min Song, Suyeon Kim

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	The Outreach of Digital Libraries
Subtitle of host publication	A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings
Pages	73-76
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-34752-8_10
Publication status	Published - 2012
Event	14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012 - Taipei, Taiwan, Province of China Duration: 2012 Nov 12 → 2012 Nov 15

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7634 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012
Country	Taiwan, Province of China
City	Taipei
Period	12/11/12 → 12/11/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-642-34752-8_10

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Yang, C. C., Tang, X., Song, M., & Kim, S. (2012). A trend analysis of domain-specific literatures with content and co-author network similarity. In The Outreach of Digital Libraries: A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings (pp. 73-76). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7634 LNCS). https://doi.org/10.1007/978-3-642-34752-8_10

Yang, Christopher C. ; Tang, Xuning ; Song, Min ; Kim, Suyeon. / A trend analysis of domain-specific literatures with content and co-author network similarity. The Outreach of Digital Libraries: A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings. 2012. pp. 73-76 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Yang, {Christopher C.} and Xuning Tang and Min Song and Suyeon Kim",

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Yang, CC, Tang, X, Song, M & Kim, S 2012, A trend analysis of domain-specific literatures with content and co-author network similarity. in The Outreach of Digital Libraries: A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7634 LNCS, pp. 73-76, 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Taipei, Taiwan, Province of China, 12/11/12. https://doi.org/10.1007/978-3-642-34752-8_10

A trend analysis of domain-specific literatures with content and co-author network similarity. / Yang, Christopher C.; Tang, Xuning; Song, Min; Kim, Suyeon.

The Outreach of Digital Libraries: A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings. 2012. p. 73-76 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7634 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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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Yang CC, Tang X, Song M, Kim S. A trend analysis of domain-specific literatures with content and co-author network similarity. In The Outreach of Digital Libraries: A Globalized Resource Network - 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, Proceedings. 2012. p. 73-76. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-34752-8_10

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

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