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Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement
Capturing human movement patterns across political borders is difficult and this difficulty highlights the need to investigate alternative data streams. With the advent of smart phones and the ability to attach accurate coordinates to Twitter messages, users leave a geographic digital footprint of t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473033/ https://www.ncbi.nlm.nih.gov/pubmed/26086772 http://dx.doi.org/10.1371/journal.pone.0129202 |
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author | Blanford, Justine I. Huang, Zhuojie Savelyev, Alexander MacEachren, Alan M. |
author_facet | Blanford, Justine I. Huang, Zhuojie Savelyev, Alexander MacEachren, Alan M. |
author_sort | Blanford, Justine I. |
collection | PubMed |
description | Capturing human movement patterns across political borders is difficult and this difficulty highlights the need to investigate alternative data streams. With the advent of smart phones and the ability to attach accurate coordinates to Twitter messages, users leave a geographic digital footprint of their movement when posting tweets. In this study we analyzed 10 months of geo-located tweets for Kenya and were able to capture movement of people at different temporal (daily to periodic) and spatial (local, national to international) scales. We were also able to capture both long and short distances travelled, highlighting regional connections and cross-border movement between Kenya and the surrounding countries. The findings from this study has broad implications for studying movement patterns and mapping inter/intra-region movement dynamics. |
format | Online Article Text |
id | pubmed-4473033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44730332015-06-29 Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement Blanford, Justine I. Huang, Zhuojie Savelyev, Alexander MacEachren, Alan M. PLoS One Research Article Capturing human movement patterns across political borders is difficult and this difficulty highlights the need to investigate alternative data streams. With the advent of smart phones and the ability to attach accurate coordinates to Twitter messages, users leave a geographic digital footprint of their movement when posting tweets. In this study we analyzed 10 months of geo-located tweets for Kenya and were able to capture movement of people at different temporal (daily to periodic) and spatial (local, national to international) scales. We were also able to capture both long and short distances travelled, highlighting regional connections and cross-border movement between Kenya and the surrounding countries. The findings from this study has broad implications for studying movement patterns and mapping inter/intra-region movement dynamics. Public Library of Science 2015-06-18 /pmc/articles/PMC4473033/ /pubmed/26086772 http://dx.doi.org/10.1371/journal.pone.0129202 Text en © 2015 Blanford et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Blanford, Justine I. Huang, Zhuojie Savelyev, Alexander MacEachren, Alan M. Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title | Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title_full | Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title_fullStr | Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title_full_unstemmed | Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title_short | Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement |
title_sort | geo-located tweets. enhancing mobility maps and capturing cross-border movement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473033/ https://www.ncbi.nlm.nih.gov/pubmed/26086772 http://dx.doi.org/10.1371/journal.pone.0129202 |
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