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Network-based statistical comparison of citation topology of bibliographic databases
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Network-based statistical comparison of citation topology of bibliographic databases
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Journal Article
Network-based statistical comparison of citation topology of bibliographic databases
2014
Overview
Modern bibliographic databases provide the basis for scientific research and its evaluation. While their content and structure differ substantially, there exist only informal notions on their reliability. Here we compare the topological consistency of citation networks extracted from six popular bibliographic databases including
Web of Science
,
CiteSeer
and
arXiv.org
. The networks are assessed through a rich set of local and global graph statistics. We first reveal statistically significant inconsistencies between some of the databases with respect to individual statistics. For example, the introduced field bow-tie decomposition of
DBLP Computer Science Bibliography
substantially differs from the rest due to the coverage of the database, while the citation information within
arXiv.org
is the most exhaustive. Finally, we compare the databases over multiple graph statistics using the critical difference diagram. The citation topology of
DBLP Computer Science Bibliography
is the least consistent with the rest, while, not surprisingly,
Web of Science
is significantly more reliable from the perspective of consistency. This work can serve either as a reference for scholars in bibliometrics and scientometrics or a scientific evaluation guideline for governments and research agencies.
Publisher
Nature Publishing Group UK,Nature Publishing Group
