Journal ranking based on social information

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Journal ranking based on social information

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International Conference on Digital Libraries archive
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries table of contents

Austin, TX, USA

POSTER SESSION: Posters table of contents

Pages 453-454

Year of Publication: 2009

ISBN:978-1-60558-322-8

Authors

Jinlong Wang	Qingdao Technological University, Qingdao, China
Ke Gao	Qingdao Technological University, Qingdao, China
Yongli Ren	Zhengzhou University, Zhengzhou, China
Gang Li	Deakin University, Victoria, Australia

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 9, Downloads (12 Months): 34, Citation Count: 0

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ABSTRACT

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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

Zhao, Q., Mitra, P. and Chen, B. Temporal and information flow based event detection from social text streams. Proc. AAAI'07, pp. 1501--1506, 2007.

INDEX TERMS

Primary Classification:
H. Information Systems
H.4 INFORMATION SYSTEMS APPLICATIONS
H.4.m Miscellaneous