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» De-anonymizing Social Networks
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WH
2010
142views Healthcare» more  WH 2010»
15 years 1 months ago
Social sensing: obesity, unhealthy eating and exercise in face-to-face networks
What is the role of face-to-face interactions in the diffusion of health-related behaviors- diet choices, exercise habits, and long-term weight changes? We use co-location and com...
Anmol Madan, Sai T. Moturu, David Lazer, Alex Pent...
CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 10 months ago
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
— This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on realworld link predictio...
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubin...
HICSS
2008
IEEE
137views Biometrics» more  HICSS 2008»
16 years 27 days ago
Social Network Structure as a Critical Success Condition for Virtual Communities
Virtual communities have become an important new organizational form and yet relatively little is known about the conditions which lead to their success. In an attempt to address ...
David Hinds, Ronald M. Lee
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 8 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
GD
2005
Springer
15 years 12 months ago
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks
Visualizing and analyzing social networks is a challenging problem that has been receiving growing attention. An important first step, before analysis can begin, is ensuring that...
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben S...