Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia

Details Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia

2007-10-16

arxiv.org/abs/0710.3058v1

Physics

Physics and Society

5 pages, 3 figures, epl2 style

Scientific paper

10.1209/0295-5075/81/28006

In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia. We find a statistical similarity in the distributions of community sizes both by using the top-down approach of the categories division present in the archive and in the bottom-up procedure of community detection given by an algorithm based on the spectral properties of the graph. Regardless the statistically similar behaviour the two methods provide a rather different division of the articles, thereby signaling that the nature and presence of power laws is a general feature for these systems and cannot be used as a benchmark to evaluate the suitability of a clustering method.

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