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%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Eagle, N., Pentland, A.: Reality Mining: Sensing Complex Social Systems. Journal of Personal and Ubiquitous Computing 10(4), 225–268 (2005)
Shannon, C.E.: A Mathematical Theory of Communications. Bell System Technical Journal 27, 379–423, 623–656 (July and October 1948)
Mitra, P., Murphy, C.A., Pal, S.K.: Unsupervised feature selection using feature similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 301–312 (2002)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, Chichester (1991)
Quinlan, J.: C4.5: Programs for machine learning. Morgan Kaufman Publishers, Inc., San Francisco (1993)
Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. John Wiley, New York (1973)
Good, I.J.: Probability and the Weighing of Evidence. Charles Griffin, London (1950)
Parzen, E.: On estimation of a probability density function and mode. Annual Mathematical Statistics 33(3), 1065–1076 (1962)
Wand, M.P., Jones, M.C.: Kernel Smoothing. Chapman & Hall, Boca Raton (1994)
Sheather, S.J., Jones, M.C.: A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statical Society, Series B(53), 683–690 (1991)
Wireless Quick Facts. CTIA, Ed. (2007), http://www.ctia.org/media/index.cfm/AID/10323
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Phithakkitnukoon, S., Dantu, R. (2008). Inferring Social Groups Using Call Logs. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_40
Download citation
DOI: https://doi.org/10.1007/978-3-540-88875-8_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88874-1
Online ISBN: 978-3-540-88875-8
eBook Packages: Computer ScienceComputer Science (R0)