Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach

We aim to study the temporal patterns of activity in points of interest of cities around the world. In order to do so, we use the data provided by the online location-based social network Foursquare, where users make check-ins that indicate points of interest in the city. The data set comprises more...

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Detalles Bibliográficos
Autores principales: Betancourt, Francisco, Riascos, Alejandro P., Mateos, José L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039356/
https://www.ncbi.nlm.nih.gov/pubmed/36966183
http://dx.doi.org/10.1038/s41598-023-32074-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039356/
https://www.ncbi.nlm.nih.gov/pubmed/36966183
http://dx.doi.org/10.1038/s41598-023-32074-w

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