Smart City Gnosys

Smart city article details

Title	Location-Centric Social Media Analytics: Challenges And Opportunities For Smart Cities
ID_Doc	35525
Authors	Yang, DQ; Qu, BQ; Cudre-Mauroux, P
Year	2021
Published	IEEE INTELLIGENT SYSTEMS, 36, 5
DOI	http://dx.doi.org/10.1109/MIS.2020.3009438
Abstract	With the proliferation of increasingly powerful smartphones, location-centric social media platforms, such as Foursquare, have attracted millions of users sharing their physical activity online, resulting in an invaluable source of fine-grained, semantically rich, and spatiotemporal user activity data. Such data provides us with an unprecedented opportunity for analyzing urban dynamics and developing smart city applications. In this article, we first systematically discuss the unique characteristics of location-centric social media data, which consist of four data dimensions, i.e., spatial, temporal, semantic, and social dimensions. We then highlight three key challenges relating to data analytics, i.e., data heterogeneity, data quality, and privacy. Finally, we discuss the opportunities of leveraging location-centric social media data for urban analytics and smart cities, including both data analytics within and across the four data dimensions, and data fusion with further urban data.
Author Keywords	Social network services; Media; Data analysis; Smart cities; Data privacy; Spatiotemporal phenomena; Semantics; Location-centric social media; urban analytics; smart city

Similar Articles

Id	Similarity	Authors	Title	Published
49793	0.923	Sacco D.; Motta G.; You L.-L.; Bertolazzo N.; Carini F.; Ma T.-Y.	Smart Cities, Urban Sensing, And Big Data: Mining Geo-Location In Social Networks	Big Data and Smart Service Systems (2017)
3083	0.893	Emek M.S.; Parlak I.B.	A New Method Of Smart City Modeling Using Big Data Techniques	Lecture Notes in Networks and Systems, 759 LNNS (2023)
21407	0.881	Mazzamurro M.; Wu Y.; Guo W.	Dynamic Spatial Cluster Process Model Of Geo-Tagged Tweets In London	5th IEEE International Smart Cities Conference, ISC2 2019 (2019)
29653	0.881	Resch B.; Szell M.	Human-Centric Data Science For Urban Studies	ISPRS International Journal of Geo-Information, 8, 12 (2019)
40140	0.879	de Oliveira T.H.M.; Painho M.	Open Geospatial Data Contribution Towards Sentiment Analysis Within The Human Dimension Of Smart Cities	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
61300	0.879	Batty M.; Hudson-Smith A.; Hugel S.; Roumpani F.	Visualising Data For Smart Cities	Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities (2015)
423	0.878	Liu L.; Yao X.	A Bibliometric Analysis Of Location-Based Social Networks And Applications: Research Trends And Future Challenges	Lecture Notes in Business Information Processing, 515 LNBIP (2024)
61299	0.876	Batty M.; Hudson-Smith A.; Hugel S.; Roumpani F.	Visualising Data For Smart Cities	Smart Technologies: Breakthroughs in Research and Practice (2017)
33286	0.875	Shang S.; Chen L.; Jensen C.S.; Kalnis P.	Introduction To Spatio-Temporal Data Management And Analytics For Smart City Research	GeoInformatica, 24, 1 (2020)
52017	0.874	Doran, D; Severin, K; Gokhale, S; Dagnino, A	Social Media Enabled Human Sensing For Smart Cities	AI COMMUNICATIONS, 29, 1 (2016)