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WWW
2011
ACM
13 years 1 months ago
Predicting popular messages in Twitter
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the c...
Liangjie Hong, Ovidiu Dan, Brian D. Davison
ACSAC
2010
IEEE
13 years 4 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...
WPES
2005
ACM
14 years 8 days ago
Information revelation and privacy in online social networks
Participation in social networking sites has dramatically increased in recent years. Services such as Friendster, Tribe, or the Facebook allow millions of individuals to create on...
Ralph Gross, Alessandro Acquisti, H. John Heinz II...
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 9 months ago
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 2 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...