Journal clustering using a bibliographic coupling method

The classification of journal titles into fields or specialties is a problem of practical importance in library and information science. An algorithm is described which accomplishes such a classification using the single-link clustering technique and a novel application of the method of bibliographic coupling. The novelty consists in the use of two-step bibliographic coupling linkages, rather than the usual one-step linkages. This modification of the similarity measure leads to a marked improvement in the performance of single-link clustering in the formation of field or specialty clusters of journals. Results of an experiment using this algorithm are reported which grouped 890 journals into 168 clusters. This scope is an improvement of nearly an order of magnitude over previous journal clustering experiments. The results are evaluated by comparison with an independently derived manual classification of the same journal set. The generally good agreement indicates that this method of journal clustering will have significant practical utility for journal classification.