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ACSAC
2010
IEEE
15 years 3 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
CSCW
2012
ACM
14 years 1 months ago
Friends, romans, countrymen: lend me your URLs. using social chatter to personalize web search
People often find useful content on the web via social media. However, it is difficult to manually aggregate the information and recommendations embedded in a torrent of social ...
Abhinay Nagpal, Sudheendra Hangal, Rifat Reza Joye...
PVLDB
2008
146views more  PVLDB 2008»
15 years 5 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
MDM
2007
Springer
111views Communications» more  MDM 2007»
16 years 6 days ago
Situation Inference for Mobile Users: A Rule Based Approach
Mobile phones are being increasingly equipped with sensors that ease retrieval of context information about a user. Context data can be aggregated with information centrally avail...
Laurent-Walter Goix, Massimo Valla, Laura Cerami, ...
ICASSP
2011
IEEE
14 years 9 months ago
Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Jacob Chakareski