Referenced Items are not available for this document.
The fast and unpredictable evolution of social data poses challenges for capturing user activities and complex associations. Evolving social graph clustering promises to uncover the dynamics of latent user and content patterns. This Web extra overviews evolving data clustering approaches.
Published in:
Internet Computing, IEEE
(Volume:17
,
Issue:
1
)
Date of Publication: Jan.-Feb. 2013
- Page(s):
- 74 - 79
- ISSN :
- 1089-7801
- INSPEC Accession Number:
- 13250357
- Digital Object Identifier :
- 10.1109/MIC.2012.141
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 21 January 2013
- Issue Date :
- Jan.-Feb. 2013
- Sponsored by :
- IEEE Computer Society
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