Folksonomies and clustering in the collaborative system CiteULike
Physics and Society
2009-11-13 v2 Data Analysis, Statistics and Probability
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.
Cite
@article{arxiv.0710.2835,
title = {Folksonomies and clustering in the collaborative system CiteULike},
author = {Andrea Capocci and Guido Caldarelli},
journal= {arXiv preprint arXiv:0710.2835},
year = {2009}
}
Comments
9 pages, 5 figures, iop style; corrected typos