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Actions in Context: System for People with Dementia Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Tracking Human Migration from Online Attention

Authors : Carmen Vaca-Ruiz, Daniele Quercia, Luca Maria Aiello, Piero Fraternali

Published in: Citizen in Sensor Networks

Publisher: Springer International Publishing

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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 However, tracking migration is costly, and available data tends to be outdated.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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Footnotes
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Metadata
Title
Tracking Human Migration from Online Attention
Authors
Carmen Vaca-Ruiz
Daniele Quercia
Luca Maria Aiello
Piero Fraternali
Copyright Year
2014
Book
Citizen in Sensor Networks

Print ISBN: 978-3-319-04177-3

Electronic ISBN: 978-3-319-04178-0

Copyright Year: 2014

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

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