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» Anonymizing Weighted Social Network Graphs
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PAMI
2007
202views more  PAMI 2007»
13 years 8 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICML
2009
IEEE
14 years 9 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ASUNAM
2009
IEEE
14 years 3 months ago
An Analytical Way to Find Influencers on Social Networks and Validate their Effects in Disseminating Social Games
As the weight of online social networks (OSNs) which provide powerful means of sharing common interests and communicating has gradually grown up, influencers are also given the gr...
Erica Suyeon Kim, Steve SangKi Han
VLDB
2007
ACM
154views Database» more  VLDB 2007»
14 years 2 months ago
P2P Authority Analysis for Social Communities
PageRank-style authority analyses of Web graphs are of great importance for Web mining. Such authority analyses also apply to hot “Web 2.0” applications that exhibit a natural...
Josiane Xavier Parreira, Sebastian Michel, Matthia...
CSE
2009
IEEE
14 years 3 months ago
The Social Behaviors of Experts in Massive Multiplayer Online Role-Playing Games
— We examine the social behaviors of game experts in Everquest II, a popular massive multiplayer online role-playing game (MMO). We rely on Exponential Random Graph Models (ERGM)...
David Huffaker, Jing (Annie) Wang, Jeffrey William...