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» Mining Antagonistic Communities from Social Networks
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SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 5 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
IJWBC
2007
137views more  IJWBC 2007»
13 years 7 months ago
Identifying communities in blogs: roles for social network analysis and survey instruments
: We examine the problem of identifying, measuring and evaluating communities in blogs. In our approach, we use sense of community (McMillan and Chavis, 1986) and centrality measur...
Alvin Chin, Mark H. Chignell
INFOCOM
2011
IEEE
12 years 11 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...
GI
2009
Springer
14 years 11 days ago
Deriving Taxonomies from Automatic Analysis of Group Membership Structure in Large Social Networks
: We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr p...
Marc Egger, Kai Fischbach, Peter A. Gloor, Andre L...
SBP
2011
Springer
13 years 2 months ago
Tracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected...
Kevin S. Xu, Mark Kliger, Alfred O. Hero