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2007
Springer

Contextual Prediction of Communication Flow in Social Networks

9 years 5 months ago
Contextual Prediction of Communication Flow in Social Networks
The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because prediction of communication flow can impact timely sharing of specific information across a wide array of communities. We determine the intent to communicate and communication delay between users based on several contextual features in a social network corresponding to (a) neighborhood context, (b) topic context and (c) recipient context. The intent to communicate and communication delay are modeled as regression problem which are efficiently estimated using Support Vector Regression. We predict the intent and the delay, on a time slice using past communication and have excellent prediction results on a real-world dataset from MySpace.com with an accuracy of 13-16%. We show that the intent to communicate is more significantly influenced by contextual factors compared to the delay.
Munmun De Choudhury, Hari Sundaram, Ajita John, Do
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WEBI
Authors Munmun De Choudhury, Hari Sundaram, Ajita John, Dorée D. Seligmann
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