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GI
2009
Springer
14 years 1 months ago
Deriving Taxonomies from Automatic Analysis of Group Membership Structure in Large Social Networks
: We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr p...
Marc Egger, Kai Fischbach, Peter A. Gloor, Andre L...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 3 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
INFOCOM
2011
IEEE
13 years 13 days ago
Analysis and algorithms for partial protection in mesh networks
—This paper develops a mesh network protection scheme that guarantees a quantifiable minimum grade of service upon a failure within a network. The scheme guarantees that a fract...
Greg Kuperman, Eytan Modiano, Aradhana Narula-Tam
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 3 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
14 years 6 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...