Cargando…
Approaching the Limit of Predictability in Human Mobility
In this study we analyze the travel patterns of 500,000 individuals in Cote d'Ivoire using mobile phone call data records. By measuring the uncertainties of movements using entropy, considering both the frequencies and temporal correlations of individual trajectories, we find that the theoretic...
Autores principales: | Lu, Xin, Wetter, Erik, Bharti, Nita, Tatem, Andrew J., Bengtsson, Linus |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795357/ https://www.ncbi.nlm.nih.gov/pubmed/24113276 http://dx.doi.org/10.1038/srep02923 |
Ejemplares similares
-
Remotely measuring populations during a crisis by overlaying two data sources
por: Bharti, Nita, et al.
Publicado: (2015) -
Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data
por: Wesolowski, Amy, et al.
Publicado: (2014) -
Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen
por: Lu, Xin, et al.
Publicado: (2016) -
Using Mobile Phone Data to Predict the Spatial Spread of Cholera
por: Bengtsson, Linus, et al.
Publicado: (2015) -
Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model
por: Sallah, Kankoé, et al.
Publicado: (2017)