City users' classification with mobile phone data

被引：0
|
作者：
Gabrielli, Lorenzo [1 ,2 ]
Furletti, Barbara [2 ]
Trasarti, Roberto [2 ]
Giannotti, Fosca [2 ]
Pedreschi, Dino [3 ]
机构：
[1] Univ Pisa, Dept Informat Engn, I-56100 Pisa, Italy
[2] ISTI CNR, Pisa, Italy
[3] Univ Pisa, Dept Comp Sci, I-56100 Pisa, Italy
来源：
PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA | 2015年
关键词：
mobile phone data; individual profiles; classification; semi-automatic methods;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1007 / 1012
页数：6
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