Journal ranking based on social information

Wang, Jinlong, Gao, Ke, Ren, Yongli and Li, Gang 2009, Journal ranking based on social information, in JCDL 2009 : Proceedings of the 2009 ACM/IEEE International Joint Conference on Digital Libraries, Association for Computing Machinery, New York, N. Y., pp. 453-453.

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Title Journal ranking based on social information
Author(s) Wang, Jinlong
Gao, Ke
Ren, Yongli
Li, Gang
Conference name ACM/IEEE International Joint Conference on Digital Libraries (9th : 2009 : Austin, Texas)
Conference location Austin, Texas
Conference dates 15-19 June 2009
Title of proceedings JCDL 2009 : Proceedings of the 2009 ACM/IEEE International Joint Conference on Digital Libraries
Publication date 2009
Start page 453
End page 453
Publisher Association for Computing Machinery
Place of publication New York, N. Y.
Keyword(s) Journal ranking
Social information
Mining
Summary Recently, literature analysis has become a hot issue in academic studies. In order to quantify the importance of journals and provide researchers with target vehicles for their work, this poster proposes a novel approach based on the social information through considering the potential relationship between journals quality and authors’ affiliation. Based on the formula proposed in this work, the importance of journals can be estimated and ranked.
Notes Poster Session
ISBN 9781605586977
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
HERDC collection year 2009
Copyright notice ©2009, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30028515

Document type: Conference Paper
Collection: School of Information Technology
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