Cargando…
Quantifying international human mobility patterns using Facebook Network data
Quantifying global international mobility patterns can improve migration governance. Despite decades of calls by the international community to improve international migration statistics, the availability of timely and disaggregated data about long-term and short-term migration at the global level i...
Autores principales: | Spyratos, Spyridon, Vespe, Michele, Natale, Fabrizio, Weber, Ingmar, Zagheni, Emilio, Rango, Marzia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812739/ https://www.ncbi.nlm.nih.gov/pubmed/31648280 http://dx.doi.org/10.1371/journal.pone.0224134 |
Ejemplares similares
-
Explaining the travelling behaviour of migrants using Facebook audience estimates
por: Spyratos, Spyridon, et al.
Publicado: (2020) -
Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact
por: Iacus, Stefano Maria, et al.
Publicado: (2020) -
Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness
por: Iacus, Stefano Maria, et al.
Publicado: (2021) -
Mobility functional areas and COVID-19 spread
por: Iacus, Stefano Maria, et al.
Publicado: (2021) -
Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis
por: Santamaria, Carlos, et al.
Publicado: (2020)