An analytical framework to nowcast well-being using mobile phone data

International Journal of Data Science and Analytics

Volumn 2, Issue 1-2, 2016, Pages 75-92

  Pappalardo, Luca ^a,b   Vanhoof, Maarten ^c,d   Gabrielli, Lorenzo ^b   Smoreda, Zbigniew ^c   Pedreschi, Dino ^a   Giannotti, Fosca ^b  

^a UNIVERSITY OF PISA   (Italy)

^b Institute of Information Science and Technologies Pisa   (Italy)

^c ORANGE LABS   (France)

^d NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Big data; Complex systems; Economic data; Economic development; Forecasting; Human mobility; Nowcasting; Social networks

Indexed keywords

BEHAVIORAL RESEARCH; BIG DATA; CELLULAR TELEPHONES; ECONOMICS; PREDICTIVE ANALYTICS;

HUMAN ACTIVITIES; HUMAN BEHAVIORS; MOBILE PHONE DATUM; PREDICTIVE MODELS; SOCIO-ECONOMIC DEVELOPMENT; SOCIO-ECONOMIC INDICATORS; STATISTICAL INDICATORS; THROUGH THE LENS;

ECONOMIC AND SOCIAL EFFECTS;

EID: 85019566779     PISSN: 2364415X     EISSN: 23644168     Source Type: Journal    
DOI: 10.1007/s41060-016-0013-2     Document Type: Article

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