A Study of the Spatio-Temporal Correlations in Mobile Calls Networks

  • Romain Guigourès
  • Marc Boullé
  • Fabrice Rossi
Part of the Studies in Computational Intelligence book series (SCI, volume 615)


For the last few years, the amount of data has significantly increased in the companies. It is the reason why data analysis methods have to evolve to meet new demands. In this article, we introduce a practical analysis of a large database from a telecommunication operator. The problem is to segment a territory and characterize the retrieved areas owing to their inhabitant behavior in terms of mobile telephony. We have call detail records collected during five months in France. We propose a two stages analysis. The first one aims at grouping source antennas which originating calls are similarly distributed on target antennas and conversely for target antenna w.r.t. source antenna. A geographic projection of the data is used to display the results on a map of France. The second stage discretizes the time into periods between which we note changes in distributions of calls emerging from the clusters of source antennas. This enables an analysis of temporal changes of inhabitants behavior in every area of the country.


Mutual Information Summer Vacation Mobile Phone Usage Telecommunication Operator Mobile Call 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Romain Guigourès
    • 1
    • 2
  • Marc Boullé
    • 1
  • Fabrice Rossi
    • 2
  1. 1.Orange LabsLannionFrance
  2. 2.SAMM EA 4543 - Université Paris 1ParisFrance

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