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» Inferring private information using social network data
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CONEXT
2009
ACM
13 years 6 months ago
Lockr: better privacy for social networks
Today's online social networking (OSN) sites do little to protect the privacy of their users' social networking information. Given the highly sensitive nature of the inf...
Amin Tootoonchian, Stefan Saroiu, Yashar Ganjali, ...
BMCBI
2008
118views more  BMCBI 2008»
13 years 9 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
CCS
2009
ACM
14 years 3 months ago
Multi-party off-the-record messaging
Most cryptographic algorithms provide a means for secret and authentic communication. However, under many circumstances, the ability to repudiate messages or deny a conversation i...
Ian Goldberg, Berkant Ustaoglu, Matthew Van Gundy,...
SIGSOFT
2008
ACM
14 years 9 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
WWW
2010
ACM
13 years 9 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han