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Clusters and maps of science journals based on bi‐connected graphs in Journal Citation Reports

Clusters and maps of science journals based on bi‐connected graphs in Journal Citation Reports The aggregated journal‐journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph‐analytical algorithm of bi‐connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next‐order network of “general science” journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Documentation Emerald Publishing

Clusters and maps of science journals based on bi‐connected graphs in Journal Citation Reports

Journal of Documentation , Volume 60 (4): 57 – Aug 1, 2004

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0022-0418
DOI
10.1108/00220410410548144
Publisher site
See Article on Publisher Site

Abstract

The aggregated journal‐journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph‐analytical algorithm of bi‐connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next‐order network of “general science” journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.

Journal

Journal of DocumentationEmerald Publishing

Published: Aug 1, 2004

Keywords: Journals; Statistical analysis; Maps; Cluster analysis

References

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