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Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks

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Complex Networks VI

Part of the book series: Studies in Computational Intelligence ((SCI,volume 597))

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Abstract

Currently, mobile phone calling is one of most widely used communication mode. The records of calls among users can show much about human communication pattern and this pattern can help us to infer about interpersonal relationships. In this work we use CDR (call details record) data for modelling the whole network and choose random nodes for a deep study of their ego networks. In each ego networks we study and discuss the reciprocity of the weight of connections and the correlation between time spend per relationship, number of calls per relationship and their respective reciprocity index.

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Author information

Authors and Affiliations

  1. UFRJ/COPPE - Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

    Carolina Ribeiro Xavier, Vinícius da Fonseca Vieira & Nelson Francisco Favilla Ebecken

  2. UFSJ/DCOMP - Federal University of São João del Rei, São João del Rei, MG, Brazil

    Carolina Ribeiro Xavier, Vinícius da Fonseca Vieira, Nelson Francisco Favilla Ebecken & Alexandre Gonc̨alves Evsukoff

Authors
  1. Carolina Ribeiro Xavier
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  2. Vinícius da Fonseca Vieira
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  3. Nelson Francisco Favilla Ebecken
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  4. Alexandre Gonc̨alves Evsukoff
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Editor information

Editors and Affiliations

  1. Dip. di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Catania, Italy

    Giuseppe Mangioni

  2. Dept. of Engineering Mathematics, University of Bristol, Clifton, United Kingdom

    Filippo Simini

  3. New York Hall of Science, New York, New York, USA

    Stephen Miles Uzzo

  4. College of Information Sciences and Technology, Pennsylvania State University, University Park, New York, USA

    Dashun Wang

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© 2015 Springer International Publishing Switzerland

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Xavier, C.R., da Fonseca Vieira, V., Ebecken, N.F.F., Evsukoff, A.G. (2015). Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks. In: Mangioni, G., Simini, F., Uzzo, S., Wang, D. (eds) Complex Networks VI. Studies in Computational Intelligence, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-16112-9_20

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  • DOI: https://doi.org/10.1007/978-3-319-16112-9_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16111-2

  • Online ISBN: 978-3-319-16112-9

  • eBook Packages: EngineeringEngineering (R0)

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