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» Data and Structural k-Anonymity in Social Networks
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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 3 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
CONEXT
2009
ACM
14 years 10 months ago
StarClique: guaranteeing user privacy in social networks against intersection attacks
Building on the popularity of online social networks (OSNs) such as Facebook, social content-sharing applications allow users to form communities around shared interests. Millions...
Krishna P. N. Puttaswamy, Alessandra Sala, Ben Y. ...
PAMI
2012
13 years 2 days ago
Exploring Context and Content Links in Social Media: A Latent Space Method
—Social media networks contain both content and context-specific information. Most existing methods work with either of the two for the purpose of multimedia mining and retrieva...
Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, T...
INTERACT
2007
14 years 11 months ago
Exploring Temporal Communication Through Social Networks
The dissemination of information in social networks and the relative effect of ICT (Information and Communications Technology) use has long been an interesting area of study in the...
Liaquat Hossain, Kon Shing Kenneth Chung, Shahriar...
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
14 years 7 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...