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» Inferring Privacy Information from Social Networks
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CCS
2009
ACM
15 years 10 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
ECSCW
2011
13 years 9 months ago
Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions
Facebook and Twitter have changed the way we consume information, allowing the people we follow to become our “social filters” and determine the content of our information stre...
Michal Jacovi, Ido Guy, Inbal Ronen, Adam Perer, E...
SOCIALCOM
2010
14 years 7 months ago
Traffic in Social Media I: Paths Through Information Networks
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...
DMIN
2009
222views Data Mining» more  DMIN 2009»
14 years 7 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
89
Voted
PERCOM
2010
ACM
14 years 8 months ago
Privacy Butler: A personal privacy rights manager for online presence
Abstract—The online presence projected by a person is comprised of all the information about them available on the Internet. In online communities and social networking services,...
Ryan Wishart, Domenico Corapi, Anil Madhavapeddy, ...