Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques
With the digital turn, data from connected devices are a new resource for understanding urban rhythms and mobility. Using the geolocated messages (1, 540, 000 tweets) of Twitter social network users recorded in 2015, this article uses dynamic graphs to visualize Parisian mobilities. Using a clusteri...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
OpenEdition
2020-07-01
|
| Series: | M@ppemonde |
| Subjects: | |
| Online Access: | https://journals.openedition.org/mappemonde/4297 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the digital turn, data from connected devices are a new resource for understanding urban rhythms and mobility. Using the geolocated messages (1, 540, 000 tweets) of Twitter social network users recorded in 2015, this article uses dynamic graphs to visualize Parisian mobilities. Using a clustering algorithm, we show how to move from a geolocated message to an individual displacement and on to collective trajectories. These trajectories illustrate the preferential mobility of users of the social network in Paris, as well as the areas of concentration and poles of interest. |
|---|---|
| ISSN: | 0764-3470 1769-7298 |