Document - City users' classification with mobile phone data

2015

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City users' classification with mobile phone data

Furletti B., Gabrielli L., Trasarti R., Giannotti F., Pedreschi D.

Individual profiles Mobile phone data Classification Data mining

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.

Source: IEEE International Conference on Big Data, pp. 1007–1012, Santa Clara, CA, USA, 29/10/2015-01/11/2015

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@inproceedings{oai:it.cnr:prodotti:346002,
	title = {City users' classification with mobile phone data},
	author = {Furletti B. and Gabrielli L. and Trasarti R. and Giannotti F. and Pedreschi D.},
	doi = {10.1109/bigdata.2015.7363852},
	booktitle = {IEEE International Conference on Big Data, pp. 1007–1012, Santa Clara, CA, USA, 29/10/2015-01/11/2015},
	year = {2015}
}