Collaborative tagging as a tripartite network

@misc{citeulike:484851, abstract = {We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods in order to uncover the structures of the networks, i.e. communities of users, genre families... <br />To do so, we focus on the correlations between the nodes, depending on their profiles, and use percolation techniques that consist in removing less correlated links and observing the shaping of disconnected islands. The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed.}, author = {Lambiotte, R. and Ausloos, M. }, citeulike-article-id = {484851}, eprint = {cs.DS/0512090}, keywords = {classification, collaboration}, month = {Dec}, posted-at = {2006-04-01 07:09:16}, priority = {3}, title = {Collaborative tagging as a tripartite network}, url = {http://arxiv.org/abs/cs.DS/0512090}, year = {2005} }

TY - ELEC ID - citeulike:484851 TI - Collaborative tagging as a tripartite network N2 - We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods in order to uncover the structures of the networks, i.e. communities of users, genre families... <br />To do so, we focus on the correlations between the nodes, depending on their profiles, and use percolation techniques that consist in removing less correlated links and observing the shaping of disconnected islands. The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed. KW - classification KW - collaboration AU - Lambiotte, R AU - Ausloos, M PY - 2005/Dec/29/ UR - http://arxiv.org/abs/cs.DS/0512090 ER -