DOAJ Open Access 2020

Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques

Françoise Lucchini Olivier Gillet Bernard Elissalde Lény Grassot Julien Baudry +1 lainnya

Abstrak

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.

Topik & Kata Kunci

Mathematical geography. Cartography

Penulis (6)

Françoise Lucchini

Olivier Gillet

Bernard Elissalde

Lény Grassot

Julien Baudry

Armelle Couillet

Format Sitasi

APA MLA BibTeX

Lucchini, F., Gillet, O., Elissalde, B., Grassot, L., Baudry, J., Couillet, A. (2020). Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques. https://doi.org/10.4000/mappemonde.4297

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.4000/mappemonde.4297
Akses: Open Access ✓