Smart City Gnosys

Smart city article details

Title	Smart Cities, Urban Sensing, And Big Data: Mining Geo-Location In Social Networks
ID_Doc	49793
Authors	Sacco D.; Motta G.; You L.-L.; Bertolazzo N.; Carini F.; Ma T.-Y.
Year	2017
Published	Big Data and Smart Service Systems
DOI	http://dx.doi.org/10.1016/B978-0-12-812013-2.00005-8
Abstract	Location-based social networks offer spatiotemporal information which can be accessed through public application programming interfaces and have drawn the interest of researchers with diverse scientific backgrounds. This availability of data enables the potential use of geo-located content as an additional, low-cost and infrastructureless source of information for urban sensing in smart cities. All these aspects along with the need for real-time analytics for urban sensing, take us to Big Data management and its related issues. Real-time urban sensing uses citizens as active and passive sensors and can reveal important insights about human behavior in the city. A systematic literature review outlines related works and gaps in current research. In this chapter, we propose a reference model to exploit Big Data for urban sensing and we validate it using a case study. Finally, we give recommendations for future research about location and mobility mining of social network data. © 2017 Zhejiang University Press Co., Ltd. All rights reserved.
Author Keywords	APIs; Big Data; Smart cities; Social networks

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