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Mining a web citation database for author co-citation analysis

He, Yulan and Hui, Siu Cheung (2002). Mining a web citation database for author co-citation analysis. Information Processing & Management, 38(4) pp. 491–508.

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Author co-citation analysis (ACA) has been widely used in bibliometrics as an analytical method in analyzing the intellectual structure of science studies. It can be used to identify authors from the same or similar research fields. However, such analysis method relies heavily on statistical tools to perform the analysis and requires human interpretation. Web Citation Database is a data warehouse used for storing citation indices of Web publications. In this paper, we propose a mining process to automate the ACA based on the Web Citation Database. The mining process uses agglomerative hierarchical clustering (AHC) as the mining technique for author clustering and multidimensional scaling (MDS) for displaying author cluster maps. The clustering results and author cluster map have been incorporated into a citation-based retrieval system known as PubSearch to support author retrieval of Web publications.

Item Type: Journal Item
Copyright Holders: 2002 Elsevier Science Ltd
ISSN: 0306-4573
Keywords: author co-citation analysis; data mining; web citation database; intelligent information retrieval
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23782
Depositing User: Kay Dave
Date Deposited: 29 Mar 2011 12:20
Last Modified: 27 Jun 2020 06:29
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