Urban Computing Leveraging Location-Based Social Network Data-Reference-Cited by-同舟云学术

Urban Computing Leveraging Location-Based Social Network Data

Published:2020-01-31 Issue:1 Volume:52 Page:1-39
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Silva Thiago H.¹^ORCID,Viana Aline Carneiro²,Benevenuto Fabrício³,Villas Leandro⁴,Salles Juliana⁵,Loureiro Antonio³,Quercia Daniele⁶

Affiliation:

1. Federal University of Technology - Parana, Curitiba- PR, Brazil

2. Inria, Palaiseau

3. Federal University of Minas Gerais, MG, Brasil

4. University of Campinas, Campinas, SP, Brasil

5. Microsoft Research, Washington, USA

6. Bell Labs, Cambridge, UK

Abstract

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 that 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. We also point out the opportunities and challenges that those studies open.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação Araucária

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Alexander Von Humboldt-Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3301284

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