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PROCEDIA
2010
114views more  PROCEDIA 2010»
13 years 6 months ago
Small world models for social network algorithms testing
Social networks have small-world property, hierarchical community structure, and some other properties. This paper proposes models of networks with these properties and algorithm ...
Igor Kanovsky
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
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...
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,...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 8 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...