Paper Info
Title
Geo-Tagged Social Media Data as a Proxy for Urban Mobility
Abstract
We evaluate the utility of geo-tagged Twitter data for inferring a network of human mobility in the New York City through a quantitative and qualitative comparison of the Twitter-based mobility network during business hours versus the ground-truth network based on official statistics. The analysis includes a comparison of the structure of the city inferred through community detection in both networks, comparison of the models of human mobility fitted to both networks, as well as the comparison of the dynamic population distribution across the city presented by the networks. Once the utility of the Twitter data is verified, the availability of an additional temporal component in it can be seen as bringing additional value to numerous urban applications. The data visualization web application is constructed to illustrate one of the examples of such applications.
Year
DOI
Venue
2017
10.1007/978-3-319-60747-4_4
ADVANCES IN CROSS-CULTURAL DECISION MAKING, (AHFE 2017)
Keywords
DocType
Volume
Urban Science,Human mobility,Social media,Twitter,LEHD,Gravity model,Community detection
Conference
610
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Cheng Qian100.34
Philipp Kats200.34
Sergey Malinchik3431.59
Mark Hoffman400.34
Brian Kettler5173.17
Constantine E. Kontokosta6256.81
Stanislav Sobolevsky746432.15