Urban Computing Leveraging Location-Based Social Network Data: a Survey

Thiago H. Silva (1) , Aline Carneiro Viana (2) , Fabrício Benevenuto (3) , Leandro Villas (4) , Juliana Salles (5) , Antonio A. F. Loureiro (6) , Daniele Quercia (7)

1 UTFPR - Universidade Tecnológica Federal do Paraná [Curitiba, Brasil] = Federal Technological University of Paraná [Curitiba, Brazil] = Université technologique fédérale du Paraná [Curitiba, Brésil]
2 INFINE-POST - INFormation NEtworks
3 UFMG - Universidade Federal de Minas Gerais = Federal University of Minas Gerais [Belo Horizonte, Brazil]
4 IC - Institute of Computing [Campinas]
5 Microsoft Research [Redmond]
6 DCC - UFMG - Departamento de Ciência da Computação [Minas Gerais]
7 CAM - University of Cambridge [UK]

Urban computing is an emerging area of investigation in which researchers study cities using digital data. Location-Based Social Networks (LBSNs) generate one specific type of digital data, which offers unprecedented geographic and temporal resolutions. We discuss fundamental concepts of urban computing leveraging LBSN data and present a survey of recent urban computing studies that make use of LBSN data. Besides, we point out the opportunities and challenges that those studies open up.

Mots clés: City Dynamics; Location-Based Social Networks; Big Data; Ubiquitous and mobile computing; Urban Sensing; Urban Informatics; • Human-centered com-puting → Collaborative and social computing; Data management systems

Domaines: Réseaux et télécommunications [cs.NI]; Informatique mobile; Environnements Informatiques pour l'Apprentissage Humain

Thiago H. Silva, Aline Carneiro Viana, Fabrício Benevenuto, Leandro Villas, Juliana Salles, et al.. Urban Computing Leveraging Location-Based Social Network Data: a Survey. ACM Computing Surveys, 2019, ⟨10.1145/3301284⟩. ⟨hal-01972129⟩