Journal of Information and Media Studies
Online ISSN : 1349-3302
Print ISSN : 1348-5857
ISSN-L : 1348-5857
Research papers
Clustering Methodology for Journals Based on Citation
Kou AMANOTadashi KODAMA
Author information
JOURNAL FREE ACCESS

2007 Volume 7 Issue 1 Pages 63-73

Details
Abstract
Objective: In this paper, we propose a novel method to classify scientific journals into subject fields based on interjournal citation data. Object: Citation data of 5964 journals from JCR2004 Science Edition CD-ROM. Cited ratio vectors of the journals were used for analysis. Method: Our original clustering programs based on k-means were used. For the clustering, cosine distance (1-cosθ) was used. Results: In the cited-ratio-vector space, the spike-like-regions which appear to correspond to particular scientific fields were observed. And we succeeded to extract each spike-like-region by our clustering method. The number of fields (clusters identified) was 22. It was revealed that the cited feature of prominent multidisciplinary (general) science journals was similar to that of biochemistry journals.
Content from these authors
© 2007 Japan Society for Information and Media Studies
Previous article Next article
feedback
Top