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Analyzing urban mobility paths based on users' activity in social networks

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Analyzing urban mobility paths based on users' activity in social networks

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Rodríguez, L.; Palanca Cámara, J.; Del Val Noguera, E.; Rebollo Pedruelo, M. (2020). Analyzing urban mobility paths based on users' activity in social networks. Future Generation Computer Systems. 102:333-346. https://doi.org/10.1016/j.future.2019.07.072

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/145396

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Title: Analyzing urban mobility paths based on users' activity in social networks
Author: Rodríguez, L. Palanca Cámara, Javier Del Val Noguera, Elena Rebollo Pedruelo, Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] This work presents an approach to model how the activity in social media of the citizens reflects the activity in the city. The proposal includes a gravitational model that deforms the surface of the city based on the ...[+]
Subjects: Complex network , Social media , Mobility , Gender , Smart cities
Copyrigths: Reserva de todos los derechos
Source:
Future Generation Computer Systems. (issn: 0167-739X )
DOI: 10.1016/j.future.2019.07.072
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.future.2019.07.072
Project ID:
info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/
Thanks:
This work is partially supported by Spanish Government Project TIN2015-65515-C4-1-R and the Post-doc grant Ref. SP20170057.
Type: Artículo

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