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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
PAKDD
2010
ACM
198views Data Mining» more  PAKDD 2010»
15 years 2 months ago
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen
ECCV
2010
Springer
15 years 3 months ago
Learning Relations Among Movie Characters: A Social Network Perspective
If you have ever watched movies or television shows, you know how easy it is to tell the good characters from the bad ones. Little, however, is known “whether” or “how” com...
72
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TVCG
2008
95views more  TVCG 2008»
14 years 9 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
CASCON
2007
106views Education» more  CASCON 2007»
14 years 11 months ago
Identifying active subgroups in online communities
As online communities proliferate, methods are needed to explore and capture patterns of activity within them. This paper focuses on the problem of identifying active subgroups wi...
Alvin Chin, Mark H. Chignell