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Social reference: Aggregating online usage of scientific literature in CiteULike for clustering academic resources

Jiang, J and He, D and Ni, C (2011) Social reference: Aggregating online usage of scientific literature in CiteULike for clustering academic resources. In: UNSPECIFIED.

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Abstract

Citation-based methods have been widely studied and employed for clustering academic resources and mapping science. Although effective, these methods suffer from citation delay. In this study, we extend reference and citation analysis to a broader notion from social perspective. We coin the term "social reference" to refer to the references of literatures in social academic web environment. We propose clustering methods using social reference information from CiteULike. We experiment for journal clustering and author clustering using social reference and compare with citation-based methods. Our experiments indicate: first, social reference implies connections among literatures which are as effective as citation in clustering academic resources; second, in practical settings, social reference-based clustering methods are not as effective as citation-based ones due to the sparseness of social reference data, but they can outperform in clustering new resources that have few citation. © 2011 Authors.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Jiang, J
He, Ddah44@pitt.eduDAH440000-0002-4645-8696
Ni, C
Date: 25 July 2011
Date Type: Publication
Journal or Publication Title: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
Page Range: 401 - 402
Event Type: Conference
DOI or Unique Handle: 10.1145/1998076.1998155
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
ISBN: 9781450307444
ISSN: 1552-5996
Date Deposited: 28 Jun 2011 18:31
Last Modified: 06 Sep 2019 13:58
URI: http://d-scholarship.pitt.edu/id/eprint/5936

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