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» Learning and Predicting the Evolution of Social Networks
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84
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WWW
2009
ACM
15 years 10 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
96
Voted
ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 4 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 4 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
SENSYS
2010
ACM
14 years 7 months ago
Evolution and sustainability of a wildlife monitoring sensor network
As sensor network technologies become more mature, they are increasingly being applied to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and ...
Vladimir Dyo, Stephen A. Ellwood, David W. Macdona...
CHI
2009
ACM
15 years 10 months ago
Feed me: motivating newcomer contribution in social network sites
Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to ...
Moira Burke, Cameron Marlow, Thomas M. Lento