Analyses of public spaces in Belgrade using geo-referenced twitter data
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The ICT supported methodology for properly determine attractiveness of public spaces has been an important tool in fields like urban planning, transport, marketing, business, migration and tourism. The use of Twitter data is very interesting to make analysis of how people use urban open spaces and what is the geographical pattern of their communications. Since the Twitter is a massive platform for online communication within extremely diverse social groups, with data generated by users of this network it is possible to research the spatiotemporal dynamics of location and different aspects of users’ behaviour. The paper concerns the study of user-generated twitter data that could support and improve the understanding of spatial patterns for urban planning and (re)design of public spaces. The data generated by Twitter social network are analysed, regarding temporal and spatial distribution, content classification, language determination and sentiment analyses. The data based on... geo-referenced tweets collected in Belgrade, has been pre-processed, filtered and classified by given criteria, by using “Twitter search engine” (TSE) web application based on Twitter REST API.
Keywords:Geo-referenced data / Social Networks / Twitter / Belgrade / Public Space
Source:Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade], 2018, 205-211
- Belgrade : University, Faculty of Architecture