Hybrid clustering for validation and improvement of subject-classification schemes

• Published in: Information processing & management Vol. 45; no. 6; pp. 683 - 702
• Main Authors: Janssens, Frizo, Zhang, Lin, Moor, Bart De, Glänzel, Wolfgang
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.11.2009; Elsevier; Elsevier Science Ltd
• Subjects: Bibliometrics. Scientometrics; Bibliometrics. Scientometrics. Evaluation; Classification; Classification schemes; Cluster analysis; Clustering; Exact sciences and technology; Hierarchies; Hybrid clustering; Information and communication sciences; Information management; Information science. Documentation; Journal cross-citation; Library and information science. General aspects; Mapping of science; Online data bases; Sciences and techniques of general use; Studies; Subject classification; Journal cross-citation; Subject classification; Hybrid clustering; Mapping of science; Cluster analysis; Information mapping; Citation analysis; Periodical; Scientific research; Classification; Subject access

A hybrid text/citation-based method is used to cluster journals covered by the Web of Science database in the period 2002–2006. The objective is to use this clustering to validate and, if possible, to improve existing journal-based subject-classification schemes. Cross-citation links are determined...