Discovering events in the city via mobile network analysis

被引：17

作者：

Ferrari, Laura ^{[1
]}

Mamei, Marco ^{[1
]}

Colonna, Massimo ^{[2
]}

机构：

[1] Univ Modena & Reggio Emilia, Dipartimento Sci Metodi & Ingn, Reggio Emilia, Italy

[2] Telecom Italia Lab, Turin, Italy

来源：

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING | 2014年 / 5卷 / 03期

关键词：

Mobility models and patterns; Human mobility; Urban and environmental planning; Social dynamics; CELL PHONES;

D O I：

10.1007/s12652-012-0169-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Can we automatically identify relevant places and events happening in the city from the analysis of mobile network use? In this paper we present a methodology to discover events from human mobility patterns as recorded by mobile network usage. Experiments conducted over an extensive dataset from the main Italian telecom operator show that the proposed approach is effective and can be applied to a number of different scenarios. These results can have a strong impact on a wide range of pervasive applications ranging from location-based services to urban planning.

引用

页码：265 / 277

页数：13

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