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» On Wireless Social Community Networks
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 2 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 5 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
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...
KES
2009
Springer
14 years 13 days ago
Virtual Communities of Practice's Purpose Evolution Analysis Using a Concept-Based Mining Approach
Today, social networks systems have become more and more important. People have change their way to relate and communicate. Therefore, how to enhance contents and organization of a...
Sebastián A. Ríos, Felipe Aguilera, ...