@misc{capocci-2007,
	title = {Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia},
	author = {A. Capocci and F. Rao and G. Caldarelli},
	url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0710.3058},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/29c69bc97d22b7e5c2d90d8765b491a16/dbenz},
	description = {Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia},
	abstract = { 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.},
	keywords = {clustering comparison taxonomy toread wikipedia }
}