Print Email Facebook Twitter Data Extraction from Social Networks for Urban Analyses: Combining Space Syntax and user-generated data analysis on Lisbon Part of: eCAADe 2013: Computation and Performance Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe· list the conference papers Title Data Extraction from Social Networks for Urban Analyses: Combining Space Syntax and user-generated data analysis on Lisbon Author Fiorito, S. Orsi, F. Serdoura, F.M. Ferreira, V. Date 2013-09-18 Abstract The present work constitutes the first stage of an ongoing research on the interaction between morphological characteristics of the urban fabric and the amount of social activity in such spaces. In order to analyze such correlation, the current research links together two different field of studies: Space Syntax on one side, for the morphological analysis of the spatial configuration of the urban fabric, and a remote sensing study about social activity in the analyzed urban context, on the other. Data extracted from location-based online Social Networks databases (e.g. Foursquare) are employed in order to perform such survey. The resulting methodology constitutes an early attempt to set a novel approach to the study of the relationships between the morphological and configurational characteristics of urban systems and actual human dynamics in urban contexts. Subject Space Syntaxurban morphologyremote sensingsocial networksurban dynamics To reference this document use: http://resolver.tudelft.nl/uuid:e5f10f98-4224-4f07-9cb3-00fd7820e41f Part of collection Conference proceedings Document type conference paper Rights (c) 2013 Fiorito, S.; Orsi, F.; Serdoura, F.M.; Ferreira, V. Files PDF ecaade2013_244.content.pdf 1.1 MB Close viewer /islandora/object/uuid:e5f10f98-4224-4f07-9cb3-00fd7820e41f/datastream/OBJ/view