Sciweavers

27 search results - page 1 / 6
» Community evolution in dynamic multi-mode networks
Sort
View
WWW
2008
ACM
14 years 5 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...
INFOCOM
2011
IEEE
12 years 7 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...
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 1 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
KDD
2008
ACM
284views Data Mining» more  KDD 2008»
14 years 4 months ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
ASUNAM
2010
IEEE
13 years 6 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...