Folksonomies and clustering in the collaborative system CiteULike

Abstract

We analyze CiteULike, an online collaborative tagging system where users bookmark and annotate scientific papers. Such a system can be naturally represented as a tripartite 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 reflects the semantical patterns among tags, providing useful ideas for the designing of more efficient methods of data classification and spam detection.

9 pages, 5 figures, iop style; corrected typos

References in corpus (4)

• Statistical mechanics of complex networks
• Hierarchical Organization in Complex Networks
• Collaborative tagging as a tripartite network
• Vocabulary growth in collaborative tagging systems

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