Sciweavers

450 search results - page 8 / 90
» Mining Antagonistic Communities from Social Networks
Sort
View
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 5 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, ...
WWW
2006
ACM
14 years 8 months ago
An integrated method for social network extraction
A social network can become bases for information infrastructure in the future. It is important to extract social networks that are not biased. Providing a simple means for users ...
Tom Hope, Takuichi Nishimura, Hideaki Takeda
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 8 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
COMSWARE
2008
IEEE
13 years 9 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,...
WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf