Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/342695
Type: Artigo
Title: Urban computing leveraging location-based social network data : a survey
Author: Silva, Thiago H.
Viana, Aline Carneiro
Benevenuto, Fabricio
Villas, Leandro
Salles, Juliana
Loureiro, Antonio
Quercia, Daniele
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
Subject: Big data
Country: Estados Unidos
Editor: Association for Computing Machinery
Rights: Fechado
Identifier DOI: 10.1145/3301284
Address: https://dl.acm.org/doi/10.1145/3301284
Date Issue: 2019
Appears in Collections:IC - Artigos e Outros Documentos

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