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He, Yulan and Hui, Siu Cheung
(2002).
DOI: https://doi.org/10.1016/S0306-4573(01)00046-2
Abstract
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.
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About
- Item ORO ID
- 23782
- Item Type
- Journal Item
- ISSN
- 0306-4573
- Keywords
- author co-citation analysis; data mining; web citation database; intelligent information retrieval
- Academic Unit or 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)
- Copyright Holders
- © 2002 Elsevier Science Ltd
- Depositing User
- Kay Dave