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» Community Structure in Large Complex Networks
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 9 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
COMSWARE
2008
IEEE
13 years 10 months ago
Extracting dense communities from telecom call graphs
Social networks refer to structures made of nodes that represent people or other entities embedded in a social context, and whose edges represent interaction between entities. Typi...
Vinayaka Pandit, Natwar Modani, Sougata Mukherjea,...
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 6 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
14 years 2 months ago
Connected Giving: Ordinary People Coordinating Disaster Relief on the Internet
The Internet is widely valued for distributing control over information to a lateral network of individuals, but it is not clear how these networks can most effectively organize t...
Cristen Torrey, Moira Burke, Matthew L. Lee, Anind...
ISMB
1993
13 years 10 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik