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» Predicting Network Response Times Using Social Information
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SIGCOMM
2009
ACM
15 years 8 months ago
On the evolution of user interaction in Facebook
Online social networks have become extremely popular; numerous sites allow users to interact and share content using social links. Users of these networks often establish hundreds...
Bimal Viswanath, Alan Mislove, Meeyoung Cha, P. Kr...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 11 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
WH
2010
142views Healthcare» more  WH 2010»
14 years 8 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...
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 2 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu