Vocabulary growth in collaborative tagging systems

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dc.creatorCattuto, Ciro
dc.creatorBaldassarri, Andrea
dc.creatorServedio, Vito D. P.
dc.creatorLoreto, Vittorio
dc.date2007-04-25
dc.date.accessioned2026-07-07T07:58:10Z
dc.date.available2026-07-07T07:58:10Z
dc.descriptionWe analyze a large-scale snapshot of del.icio.us and investigate how the number of different tags in the system grows as a function of a suitably defined notion of time. We study the temporal evolution of the global vocabulary size, i.e. the number of distinct tags in the entire system, as well as the evolution of local vocabularies, that is the growth of the number of distinct tags used in the context of a given resource or user. In both cases, we find power-law behaviors with exponents smaller than one. Surprisingly, the observed growth behaviors are remarkably regular throughout the entire history of the system and across very different resources being bookmarked. Similar sub-linear laws of growth have been observed in written text, and this qualitative universality calls for an explanation and points in the direction of non-trivial cognitive processes in the complex interaction patterns characterizing collaborative tagging.
dc.description6 pages, 7 figures
dc.identifierhttps://arxiv.org/abs/0704.3316
dc.identifierhttp://arxiv.org/abs/0704.3316
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/127907
dc.subjectInformation Retrieval
dc.subjectStatistical Mechanics
dc.subjectComputers and Society
dc.subjectData Analysis, Statistics and Probability
dc.subjectH.3.4; H.3.1
dc.titleVocabulary growth in collaborative tagging systems
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