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» Social Network Discovery Based on Sensitivity Analysis
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CSCW
2012
ACM
12 years 4 months ago
Between us and them: building connectedness within civic networks
Civic networks of community-based organizations face significant challenges in working together to combat issues facing their community (e.g., gang violence, sex trafficking). In ...
Jennifer Stoll, W. Keith Edwards, Kirsten A. Foot
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
14 years 9 months ago
Weighted graphs and disconnected components: patterns and a generator
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
Mary McGlohon, Leman Akoglu, Christos Faloutsos
WWW
2008
ACM
14 years 9 months ago
Optimal marketing strategies over social networks
We discuss the use of social networks in implementing viral marketing strategies. While influence maximization has been studied in this context (see Chapter 24 of [10]), we study ...
Jason D. Hartline, Vahab S. Mirrokni, Mukund Sunda...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 6 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...