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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, ...
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
14 years 9 months ago
On compressing social networks
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
14 years 3 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
ADMA
2010
Springer
264views Data Mining» more  ADMA 2010»
13 years 6 months ago
Frequent Pattern Trend Analysis in Social Networks
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
KDD
2009
ACM
216views Data Mining» more  KDD 2009»
14 years 9 months ago
Finding a team of experts in social networks
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Theodoros Lappas, Kun Liu, Evimaria Terzi