Open Access Review

Vincent D Blondel1*, Adeline Decuyper1 and Gautier Krings12

Author Affiliations

1 Department of Applied Mathematics, Université catholique de Louvain, Avenue Georges Lemaitre, 4, Louvain-La-Neuve 1348, Belgium

2 Real Impact Analytics, Place Flagey, 7, Brussels 1050, Belgium

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EPJ Data Science 2015, 4:10  doi:10.1140/epjds/s13688-015-0046-0

Published: 5 August 2015


In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.


mobile phone datasets; big data analysis; data mining; social networks; temporal networks; geographical networks

Source: Abstract

Via: Google Alert for Data Science

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