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Advances in Knowledge Discovery and Management pp 3–17Cite as

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

Part of the Studies in Computational Intelligence book series (SCI,volume 615)

Abstract

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.

Keywords

  • 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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Notes

  1. 1.

    Software available on www.khiops.com.

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Author information

Authors and Affiliations

  1. Orange Labs, 2 Av. Pierre Marzin, 22300, Lannion, France

    Romain Guigourès & Marc Boullé

  2. SAMM EA 4543 - Université Paris 1, 90 Rue de Tolbiac, 75013, Paris, France

    Romain Guigourès & Fabrice Rossi

Authors
  1. Romain Guigourès
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  2. Marc Boullé
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  3. Fabrice Rossi
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Corresponding author

Correspondence to Romain Guigourès .

Editor information

Editors and Affiliations

  1. LINA (CNRS UMR 6241), Polytech'Nantes, Nantes University, Nantes Cedex 3, France

    Fabrice Guillet

  2. LaBRI (CNRS UMR 5800), Bordeaux University, Talence Cedex, France

    Bruno Pinaud

  3. Polytech'Tours, François Rabelais Tours University, Tours, France

    Gilles Venturini

  4. ERIC, Lyon 2 University, Bron, France

    Djamel Abdelkader Zighed

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Guigourès, R., Boullé, M., Rossi, F. (2016). A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. In: Guillet, F., Pinaud, B., Venturini, G., Zighed, D. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-23751-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-23751-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23750-3

  • Online ISBN: 978-3-319-23751-0

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