PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Furletti B., Gabrielli L., Trasarti R., Giannotti F., Pedreschi D. City users' classification with mobile phone data. In: BigData 2015 - IEEE International Conference on Big Data (Santa Clara, CA, USA, 29 October - 1 November 2015). Proceedings, pp. 1007 - 1012. IEEE, 2015.
 
 
Abstract
(English)
Nowadays mobile phone data are an actual proxy for studying the users' social life and urban dynamics. In this paper we present the Sociometer, and analytical framework aimed at classifying mobile phone users into behavioral categories by means of their call habits. The analytical process starts from spatio-temporal profiles, learns the different behaviors, and returns annotated profiles. After the description of the methodology and its evaluation, we present an application of the Sociometer for studying city users of one small and one big city, evaluating the impact of big events in these cities.
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7363852
DOI: 10.1109/BigData.2015.7363852
Subject Data mining
Individual profiles
Classification
Mobile phone data
H.2.8 DATABASE MANAGEMENT. Database Applications
58-02


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