DocumentCode
19245
Title
Capturing Social Data Evolution Using Graph Clustering
Author
Giatsoglou, Maria ; Vakali, Athena
Author_Institution
Aristotle Univ., Thessaloniki, Greece
Volume
17
Issue
1
fYear
2013
fDate
Jan.-Feb. 2013
Firstpage
74
Lastpage
79
Abstract
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.
Keywords
data handling; graph theory; pattern clustering; social networking (online); capturing social data evolution; complex associations; data clustering; social graph clustering; Adaptation models; Clustering algorithms; Complexity theory; Data models; Internet; Web mining; clustering; data structures; database applications; database management; graphs and networks; information search and retrieval; mining methods and algorithms; pattern recognition;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2012.141
Filename
6415918
Link To Document