Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter

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Title: Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter
Authors: Agryzkov, Taras | Martí Ciriquián, Pablo | Nolasco-Cirugeda, Almudena | Serrano-Estrada, Leticia | Tortosa, Leandro | Vicent, Jose F.
Research Group/s: Análisis y Visualización de Datos en Redes (ANVIDA) | Urbanística y Ordenación del Territorio en el Espacio Litoral
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Edificación y Urbanismo
Keywords: Street network | Network analysis | Foursquare | Twitter | Data visualization
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial | Urbanística y Ordenación del Territorio
Issue Date: 16-Nov-2016
Publisher: SpringerOpen
Citation: Applied Network Science. 2016, 1:12. doi:10.1007/s41109-016-0014-z
Abstract: This paper analyzes success public spaces (specifically plazas) in the urban fabric of the city of Murcia, Spain. Two approaches were adopted. Firstly, the city was visualized as a complex network whose nodes represent plazas. A centrality algorithm was applied to determine the importance of each node. Secondly, data sets were used from social networks Foursquare and Twitter, which provide different types of data as well as user profiles. Foursquare data indicates user preferences of urban public spaces, while in this respect Twitter offers less specific user generated data. Both perspectives have facilitated two rankings based on the most visited plazas in the city. The results enabled a comparative study to determine the potential differences or similarities between both approaches.
Sponsor: This work was partially supported by Spanish Govern, Ministerio de Economía y Competividad, grant number TIN2014-53855-P.
ISSN: 2364-8228
DOI: 10.1007/s41109-016-0014-z
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s). 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Peer Review: si
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INV - UOTEL - Artículos de Revistas
INV - ECO-IA - Artículos de Revistas

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