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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收藏
页数：39
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