Link-based methods for bibliometric journal ranking

Pan Su, Qiang Shen

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)


The ISI Impact Factor is widely accepted as a possible measurement of academic journal quality. However, much debate has recently surrounded this use, and several complex alternatives have been reported. In this paper, a link-based framework for academic output is proposed, where publications, journals and authors are represented as three sets of nodes in a multi-layered and inter-connected network. Several existing indicators of journal impact are analysed and redefined by the links between the nodes. Furthermore, the indicators are combined and transformed to fused-links between journals, which are further applied to supervised and unsupervised learning methods in order to evaluate impact as well as predict ranks of journals. The link-based framework is explicable and intuitive. The experimental evaluation demonstrates that by applying the proposed fused-links to K-means clustering, the detected clusters are consistent with the ranking of expert reviewers. For journal rank prediction, the accuracy of modified K-nearest-neighbour approaches based on the fused-links is greater than other conventional methods such as the decision tree based approach
Iaith wreiddiolSaesneg
Teitl Proceedings of the 2012 UK Workshop on Computational Intelligence
CyhoeddwrIEEE Press
Nifer y tudalennau8
ISBN (Argraffiad)978-1-4673-4391-6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2012
Digwyddiad2012 12th UK Workshop on Computational Intelligence (UKCI) - Edinburgh, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Hyd: 05 Medi 201207 Medi 2012


Cynhadledd2012 12th UK Workshop on Computational Intelligence (UKCI)
Gwlad/TiriogaethTeyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Cyfnod05 Medi 201207 Medi 2012

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