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Folksonomies and clustering in the collaborative system CiteULike

Andrea Capocci1 and Guido Caldarelli2

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We analyze CiteULike, an online collaborative tagging system where users bookmark and annotate scientific papers. Such a system can be naturally represented as a tri-partite graph whose nodes represent papers, users and tags connected by individual tag assignments. The semantics of tags is studied here, in order to uncover the hidden relationships between tags. We find that the clustering coefficient can be used to analyze the semantical patterns among tags.


PACS

89.75.Fb Structures and organization in complex systems

89.75.Kd Patterns

89.65.-s Social and economic systems

89.75.Hc Networks and genealogical trees

MSC

91C20 Clustering (See also 62D05)

62D05 Sampling theory, sample surveys

05C05 Trees

91D30 Social networks

Subjects

Statistical physics and nonlinear systems

Dates

Issue 22 (6 June 2008)

Received 1 May 2008

Published 21 May 2008



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