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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Materias: | |
| 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 |