NDLI: The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity

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The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity

Content Provider	MDPI
Author	Pablo, Martí Bernabeu-Bautista, Álvaro Serrano-Estrada, Leticia Perez-Sanchez, V. Raul
Copyright Year	2021
Description	This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns of geolocated data from various social networks (i.e., Google Places, Foursquare, Twitter, Airbnb and Idealista) and statistical information such as land value, average gross income, and population distribution by age range. The main findings show that there is no direct relationship between land value or age of registered population and the amount of social network data generated in a given area. However, a noteworthy coincidence was observed between Google Places data-clustering patterns, which represent the offer of economic activities, and the spatial concentration of the other LBSNs analyzed, suggesting that data from these sources are mostly generated in areas with a high density of economic activities.
Starting Page	747
e-ISSN	22209964
DOI	10.3390/ijgi10110747
Journal	ISPRS International Journal of Geo-Information
Issue Number	11
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-11-03
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Big Data Social Networks Geolocated Data Land Value Urban Demographics
Content Type	Text
Resource Type	Article

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