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» Discovering communities in complex networks
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PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
13 years 6 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ISI
2007
Springer
14 years 2 months ago
An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
Haizheng Zhang, Baojun Qiu, C. Lee Giles, Henry C....
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 5 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, ...
AIMS
2008
Springer
13 years 10 months ago
A Role-Based Infrastructure for the Management of Dynamic Communities
Abstract. This paper addresses the problem of specifying and establishing secure collaborations between autonomous entities that need to interact and depend on each other in order ...
Alberto E. Schaeffer Filho, Emil Lupu, Morris Slom...
KCAP
2005
ACM
14 years 1 months ago
CORDER: COmmunity relation discovery by named entity recognition
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
Jianhan Zhu, Alexandre L. Gonçalves, Victor...