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ICASSP
2011
IEEE
13 years 3 months ago
Multi-graph regularization for efficient delivery of user generated content in online social networks
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
Jacob Chakareski
ICASSP
2011
IEEE
13 years 3 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
ACSAC
2010
IEEE
13 years 10 months ago
Toward worm detection in online social networks
Worms propagating in online social networking (OSN) websites have become a major security threat to both the websites and their users in recent years. Since these worms exhibit un...
Wei Xu, Fangfang Zhang, Sencun Zhu
CIKM
2008
Springer
14 years 1 months ago
Efficient sampling of information in social networks
As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In...
Gautam Das, Nick Koudas, Manos Papagelis, Sushruth...
CSE
2009
IEEE
14 years 4 months ago
Gaming On and Off the Social Graph: The Social Structure of Facebook Games
—Games built on Online Social Networks (OSNs) have become a phenomenon since 3rd party developer tools were exposed by OSNs such as Facebook. However, apart from their explosive ...
Ben Kirman, Shaun Lawson, Conor Linehan
WINE
2009
Springer
171views Economy» more  WINE 2009»
14 years 6 months ago
The Impact of Social Ignorance on Weighted Congestion Games
We consider weighted linear congestion games, and investigate how social ignorance, namely lack of information about the presence of some players, affects the inefficiency of pure...
Dimitris Fotakis, Vasilis Gkatzelis, Alexis C. Kap...
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 9 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...