Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement.
PLoS One
; 10(6): e0129202, 2015.
Article
em En
| MEDLINE
| ID: mdl-26086772
ABSTRACT
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Viagem
/
Sistemas de Informação Geográfica
/
Emigração e Imigração
/
Mídias Sociais
Limite:
Humans
País/Região como assunto:
Africa
Idioma:
En
Revista:
PLoS One
Assunto da revista:
CIENCIA
/
MEDICINA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos