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Tracking Human Migration from Online Attention

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Citizen in Sensor Networks (CitiSens 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8313))

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Abstract

The dynamics behind human migrations are very complex. Economists have intensely studied them because of their importance for the global economy. However, tracking migration is costly, and available data tends to be outdated. Online data can be used to extract proxies for migration flows, and these proxies would not be meant to replicate traditional measurements but are meant to complement them. We analyze a random sample of a microblogging service popular in Brazil (more than 13M posts and 22M reposts) and accurately predict the total number of migrants in 35 Brazilian cities. These results are so accurate that they have promising implications in monitoring emerging economies.

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Notes

  1. 1.

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Acknowledgments

Carmen Vaca Ruiz’s research work has been funded by SENESCYT and ESPOL, Ecuador.

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Authors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Carmen Vaca-Ruiz & Piero Fraternali

  2. Yahoo Research, Barcelona, Spain

    Carmen Vaca-Ruiz, Daniele Quercia & Luca Maria Aiello

Authors
  1. Carmen Vaca-Ruiz
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  2. Daniele Quercia
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  3. Luca Maria Aiello
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  4. Piero Fraternali
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Corresponding author

Correspondence to Carmen Vaca-Ruiz .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya Dept. Arquitectura de Computadors, Barcelona, Spain

    Jordi Nin

  2. Barcelona Digital Technology Centre, Barcelona, Spain

    Daniel Villatoro

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Vaca-Ruiz, C., Quercia, D., Aiello, L.M., Fraternali, P. (2014). Tracking Human Migration from Online Attention. In: Nin, J., Villatoro, D. (eds) Citizen in Sensor Networks. CitiSens 2013. Lecture Notes in Computer Science(), vol 8313. Springer, Cham. https://doi.org/10.1007/978-3-319-04178-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-04178-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04177-3

  • Online ISBN: 978-3-319-04178-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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