Geo-located Twitter as proxy for global mobility patterns
University of Salzburg · Massachusetts Institute of Technology · +1 more institution
Abstract
Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time. This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012, we estimate the volume of international travelers by country of residence. Mobility profiles of different nations were examined based on such characteristics as mobility rate, radius of gyration, diversity of destinations, and inflow-outflow balance. Temporal patterns disclose the universally valid seasons of increased international mobility and the particular character of…
Citation impact
- FWCI
- 133.05
- Percentile
- 100%
- References
- 57
Authors
6- BHBartosz HawelkaCorresponding
University of Salzburg, Massachusetts Institute of Technology
- ISIzabela Sitko
University of Salzburg, Massachusetts Institute of Technology
- EBEuro Beinat
University of Salzburg, Pädagogische Hochschule Salzburg
- SSStanislav Sobolevsky
Massachusetts Institute of Technology
- PKPavlos Kazakopoulos
University of Salzburg, Pädagogische Hochschule Salzburg
Topics & keywords
- Proxy (statistics)
- Residence
- Geography
- Destinations
- Mobility model
- Economic geography
- Diversity (politics)
- Tourism
- Decent work and economic growth