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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
15 years 10 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
DMIN
2009
222views Data Mining» more  DMIN 2009»
14 years 7 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 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...
ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
15 years 4 months ago
Mining Periodic Behavior in Dynamic Social Networks
Social interactions that occur regularly typically correspond to significant yet often infrequent and hard to detect interaction patterns. To identify such regular behavior, we p...
Mayank Lahiri, Tanya Y. Berger-Wolf
ICDM
2006
IEEE
111views Data Mining» more  ICDM 2006»
15 years 3 months ago
Social Capital in Friendship-Event Networks
In this paper, we examine a particular form of social network which we call a friendship-event network. A friendship-event network captures both the friendship relationship among ...
Louis Licamele, Lise Getoor