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» Exploiting locality of interest in online social networks
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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 5 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
INFOCOM
2012
IEEE
11 years 11 months ago
Estimating age privacy leakage in online social networks
—It is well known that Online Social Networks (OSNs) are vulnerable to privacy leakages, whereby specific information about a user (political affiliation, sexual orientation, g...
Ratan Dey, Cong Tang, Keith W. Ross, Nitesh Saxena
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
13 years 6 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
NETWORK
2010
153views more  NETWORK 2010»
13 years 3 months ago
Sizing up online social networks
While the size of popular Online Social Networks (OSNs) such as MySpace or Twitter has been reported to be in the tens or hundreds of millions of users (and growing), little is kn...
Reza Rejaie, Mojtaba Torkjazi, Masoud Valafar, Wal...
CIKM
2009
Springer
14 years 3 months ago
Self-organizing peer-to-peer networks for collaborative document tracking
Given a set of peers with overlapping interests where each peer wishes to keep track of new documents that are relevant to their interests, we propose a self-organizing peerto-pee...
Hathai Tanta-ngai, Evangelos E. Milios, Vlado Kese...