Title Inferring Social Groups Using Call Logs
Publication Type Conference Paper
Year of Publication 2008
Authors Phithakkitnukoon, S, Dantu, R
Editor Meersman, R, Tari, Z, Herrero, P
Conference Name On the Move to Meaningful Internet Systems: OTM 2008 Workshops
Date Published 11/2008
Publisher Springer Berlin Heidelberg
Conference Location Monterrey, Mexico
ISBN Number 978-3-540-88875-8
Abstract

Recent increase in population of mobile phone users makes it a valuable source of information for social network analysis. For a given call log, how much can we tell about the person's social group? Unnoticeably, phone user's calling personality and habit has been concealed in the call logs from which we believe that it can be extracted to infer its user's social group information. In this paper, we present an end-to-end system for inferring social networks based on “only” call logs using kernel-based naïve Bayesian learning. We also introduce normalized mutual information for feature selection process. Our model is evaluated with real-life call logs where it performs at high accuracy rate of 81.82%.

URL http://dx.doi.org/10.1007/978-3-540-88875-8_40
DOI 10.1007/978-3-540-88875-8_40

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