@conference {49,
	title = {Inferring Social Groups Using Call Logs},
	booktitle = {On the Move to Meaningful Internet Systems: OTM 2008 Workshops},
	year = {2008},
	month = {11/2008},
	pages = {200{\textendash}210},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Monterrey, Mexico},
	abstract = {<p>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{\textquoteright}s social group? Unnoticeably, phone user{\textquoteright}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{\textquoteright}s social group information. In this paper, we present an end-to-end system for inferring social networks based on {\textquotedblleft}only{\textquotedblright} call logs using kernel-based na{\"\i}ve 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\%.</p>
},
	isbn = {978-3-540-88875-8},
	doi = {10.1007/978-3-540-88875-8_40},
	url = {http://dx.doi.org/10.1007/978-3-540-88875-8_40},
	author = {Phithakkitnukoon, Santi and Ram Dantu},
	editor = {Meersman, Robert and Tari, Zahir and Herrero, Pilar}
}
