Authors
Yves-Alexandre De Montjoye, Sébastien Gambs, Vincent Blondel, Geoffrey Canright, Nicolas De Cordes, Sébastien Deletaille, Kenth Engø-Monsen, Manuel Garcia-Herranz, Jake Kendall, Cameron Kerry, Gautier Krings, Emmanuel Letouzé, Miguel Luengo-Oroz, Nuria Oliver, Luc Rocher, Alex Rutherford, Zbigniew Smoreda, Jessica Steele, Erik Wetter, Alex Pentland, Linus Bengtsson
Publication date
2018/12/11
Source
Scientific data
Volume
5
Issue
1
Pages
1-6
Publisher
Nature Publishing Group
Description
The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to the new field of computational social science.
With mobile phone penetration rates reaching 90% 1 and under-resourced national statistical agencies 2, the data generated by our phones—traditional Call Detail Records (CDR) but also high-frequency x-Detail Record (xDR)—have the potential to become a primary data source to tackle crucial humanitarian questions in low-and middle-income countries. For instance, they have already been used to monitor population displacement after disasters 3, to provide real-time traffic information, and to improve our …
Total citations
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Scholar articles
YA De Montjoye, S Gambs, V Blondel, G Canright… - Scientific data, 2018