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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 3 days ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
DMIN
2009
222views Data Mining» more  DMIN 2009»
14 years 9 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
IDEAS
2005
IEEE
124views Database» more  IDEAS 2005»
15 years 5 months ago
Flexible Update Management in Peer-to-Peer Database Systems
Promising the combination of dynamic configuration, scalability and redundancy, peer-to-peer (P2P) networks have garnered tremendous interest lately. Before long, this interest ex...
David Del Vecchio, Sang Hyuk Son
IJMMS
2007
91views more  IJMMS 2007»
14 years 11 months ago
Mining communities and their relationships in blogs: A study of online hate groups
Blogs, often treated as the equivalence of online personal diaries, have become one of the fastest growing types of Web-based media. Everyone is free to express their opinions and...
Michael Chau, Jennifer Jie Xu
DASFAA
2010
IEEE
168views Database» more  DASFAA 2010»
15 years 5 months ago
Temporal Top-k Search in Social Tagging Sites Using Multiple Social Networks
In social tagging sites, users are provided easy ways to create social networks, to post and share items like bookmarks, videos, photos and articles, along with comments and tags. ...
Wenyu Huo, Vassilis J. Tsotras