Agryzkov, Taras, Martí Ciriquián, Pablo, Nolasco-Cirugeda, Almudena, Serrano-Estrada, Leticia, Tortosa, Leandro, Vicent, Jose F.
Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter
Applied Network Science. 2016, 1:12. doi:10.1007/s41109-016-0014-z
URI: http://hdl.handle.net/10045/60108
DOI: 10.1007/s41109-016-0014-z
ISSN: 2364-8228
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.
Keywords:Street network, Network analysis, Foursquare, Twitter, Data visualization
SpringerOpen
info:eu-repo/semantics/article