Studying Successful Public Plazas in the City of Murcia (Spain) Using a Ranking Nodes Algorithm and Foursquare Data

• Published in: Advances in Network Science Vol. 9564; pp. 161 - 168
• Main Authors: Agryzkov, Taras, Martí, Pablo, Nolasco-Cirugeda, Almudena, Serrano-Estrada, Leticia, Tortosa, Leandro, Vicent, José F.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Algorithms & data structures; COMPUTER COMMUNICATIONS & NETWORKING; Foursquare; Information retrieval; Networks; PageRank vector; Primal graph; Public spaces; Urban networks
• ISBN: 9783319283609; 331928360X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-28361-6_13

In this paper we study the success of public spaces (exactly, plazas) existing in the urban fabric of the city of Murcia, Spain, from two points of view. On the one hand, we apply an algorithm to classify the nodes of a graph in order of importance, from the data obtained through a fieldwork developed on the city itself. On the other hand, we use the data that gives us the social network Foursquare in this city to extract the preferences of its users, related to the different plazas present in the public space in the city. These two perspectives or views allows us to establish two rankings of plazas places in the city, which is the subject of comparative study to determine potential differences or similarities in the results.