Wang et al ICDM 2010

From Cohen Courses
Revision as of 13:36, 12 February 2011 by Dperciva (talk | contribs) (→‎Summary)
Jump to navigationJump to search

Citation

Xufei Wang, Lei Tang, Huiji Gao, and Huan Liu. Discovering Overlapping Groups in Social Media. In Proceedings of The 10th IEEE International Conference on Data Mining (ICDM'10), 2010.

Online version

Available on Lei Tang's Website

Summary

This paper focuses on clustering with the purpose of discovering communities or groups in social media. The authors observe that many communities in social networks are overlapping -- users may belong to many communities at once. Previous methods give solutions that partition the network, and are not flexible enough to instead provide a set of overlapping subsets. Their method, however, relies on using other meta-information about the users. This work gives an alternate solution to the problem addressed by co-clustering. The authors introduce a general framework, and give specific applications that employ Cosine similarity, Latent semantic indexing, Spectral Clustering

Latent semantic indexing.

Related papers