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

被引：65

作者：

Silva, Thiago H. ^{[1
]}

Viana, Aline Carneiro ^{[2
]}

Benevenuto, Fabricio ^{[3
]}

Villas, Leandro ^{[4
]}

Salles, Juliana ^{[5
]}

Loureiro, Antonio ^{[3
]}

Quercia, Daniele ^{[6
]}

机构：

[1] Univ Tecnol Fed Parana, Informat, Av Sete Setembro 3165, BR-80230901 Curitiba, Parana, Brazil

[2] Inria, 1 Rue Honore dEstienne dOrves, F-91120 Palaiseau, France

[3] Univ Fed Minas Gerais, Comp Sci, Predio ICEx Pampulha, Av Antonio Carlos 6627, Belo Horizonte, MG, Brazil

[4] Univ Estadual Campinas, Comp Sci, Av Albert Einstein,1251 Cidade Univ, Campinas, SP, Brazil

[5] Microsoft Res, 14820 NE 36th St,Bldg 99, Redmond, WA 98052 USA

[6] Bell Labs, Broers Bldg 21 JJ,Thomson Ave, Cambridge CB3 0FA, England

来源：

ACM COMPUTING SURVEYS | 2019年 / 52卷 / 01期

关键词：

Urban computing; urban informatics; location-based social networks; big data; urban sensing; city dynamics; urban societies; LARGE-SCALE; HUMAN MOBILITY; SPACE; INFORMATION; TIME; PREDICTABILITY; POLLUTION;

D O I：

10.1145/3301284

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

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