City users’ classification with mobile phone data

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TitleCity users’ classification with mobile phone data
Publication TypeConference Paper
Year of Publication2015
Refereed DesignationRefereed
AuthorsGabbrielli, M, Furletti, B, Trasarti, R, Giannotti, F, Pedreschi, D
Conference NameIEEE Big Data
Date Published11/2015
Conference LocationSanta Clara (CA) - USA
AbstractNowadays 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.
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