Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes

Bart Thijs, Lin Zhang, W. Glänzel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

An attempt is made to apply bibliographic coupling to journal clustering of the complete Web of Science database. Since the sparseness of the underlying similarity matrix proved inappropriate for this exercise, second-order similarities have been used. Only 0.12% out of 8282 journals had to be removed from the classification as being singletons. The quality at three hierarchical levels with 6, 14 and 24 clusters substantiated the applicability of this method. Cluster labelling was made on the basis of the about 70 subfields of the Leuven-Budapest subject-classification scheme that also allowed the comparison with the existing two-level journal classification system developed in Leuven. The further comparison with the 22 field classification system of the Essential Science Indicators does, however, reveal larger deviations.

Original languageEnglish
Title of host publicationProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Pages237-250
Number of pages14
Volume1
Publication statusPublished - 2013
Event14th International Society of Scientometrics and Informetrics Conference, ISSI 2013 - Vienna, Austria
Duration: Jul 15 2013Jul 20 2013

Other

Other14th International Society of Scientometrics and Informetrics Conference, ISSI 2013
CountryAustria
CityVienna
Period7/15/137/20/13

Fingerprint

Hierarchical Clustering
Subfield
Large Deviations
Labeling
Exercise
Clustering
Hierarchical clustering
Classification system
Similarity
World Wide Web
Large deviations
Data base
Classification schemes

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research
  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability

Cite this

Thijs, B., Zhang, L., & Glänzel, W. (2013). Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes. In Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference (Vol. 1, pp. 237-250)

Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes. / Thijs, Bart; Zhang, Lin; Glänzel, W.

Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference. Vol. 1 2013. p. 237-250.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thijs, B, Zhang, L & Glänzel, W 2013, Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes. in Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference. vol. 1, pp. 237-250, 14th International Society of Scientometrics and Informetrics Conference, ISSI 2013, Vienna, Austria, 7/15/13.
Thijs B, Zhang L, Glänzel W. Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes. In Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference. Vol. 1. 2013. p. 237-250
Thijs, Bart ; Zhang, Lin ; Glänzel, W. / Bibliographic coupling and hierarchical clustering for the validation and improvement of subjectclassification schemes. Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference. Vol. 1 2013. pp. 237-250
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