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The aggregated journal-journal citation matrix derived from the JournalCitation Reports 2001 can be decomposed into a unique subject classification byusing the graph-analytical algorithm of bi-connected components. This techniquewas recently incorporated in software tools for social network analysis. Thematrix can be assessed in terms of its decomposability using articulationpoints which indicate overlap between the components. The articulation pointsof 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 oftheir relations. A full classification of the journals is provided in anAppendix. The clusters can also be extracted and mapped for the visualization.

Clusters and Maps of Science Journals Based on Bi-connected Graphs in the Journal Citation Reports