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» Efficient sampling of information in social networks
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CORR
2011
Springer
217views Education» more  CORR 2011»
12 years 11 months ago
Coarse-Grained Topology Estimation via Graph Sampling
Many online networks are measured and studied via sampling techniques, which typically collect a relatively small fraction of nodes and their associated edges. Past work in this a...
Maciej Kurant, Minas Gjoka, Yan Wang, Zack W. Almq...
CHI
2010
ACM
14 years 2 months ago
Friends only: examining a privacy-enhancing behavior in facebook
Privacy practices in social network sites often appear paradoxical, as content-sharing behavior stands in conflict with the need to reduce disclosure-related harms. In this study ...
Fred Stutzman, Jacob Kramer-Duffield
DBSEC
2010
319views Database» more  DBSEC 2010»
13 years 9 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
IJCIA
2002
137views more  IJCIA 2002»
13 years 7 months ago
Co-Evolution in Social Interactions
An interesting problem which has been widely investigated is under what circumstances will a society of rational agents realize some particular stable situations, and whether they ...
Hiroshi Sato, Akira Namatame
CIKM
2009
Springer
14 years 2 months ago
Privacy-enhanced public view for social graphs
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
Hyoungshick Kim, Joseph Bonneau