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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 9 months 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
ACSAC
2010
IEEE
13 years 6 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 7 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
CHB
2011
158views more  CHB 2011»
13 years 3 months ago
Factors mediating disclosure in social network sites
In this paper, we explore how privacy settings and privacy policy consumption (reading the privacy policy) affect the relationship between privacy attitudes and disclosure behavio...
Frederic Stutzman, Robert Capra, Jamila Thompson
CIKM
2010
Springer
13 years 7 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...