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INFOCOM
2011
IEEE
12 years 9 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...
ASUNAM
2010
IEEE
13 years 7 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
13 years 11 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
CEAS
2008
Springer
13 years 8 months ago
Social Honeypots: Making Friends With A Spammer Near You
Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spamme...
Steve Webb, James Caverlee, Calton Pu
FTDCS
2003
IEEE
13 years 11 months ago
Autonomous Decentralized Community Concept and Architecture for a Complex Adaptive Information System
The global information service in the Internet is a heterogeneous and rapidly evolving environment. Constantly, new information services are added, others are modified, removed or...
Khaled Ragab, Takanori Ono, Naohiro Kaji, Kinji Mo...