@conference{
author = "Džaković, Nikola and Dinkić, Nikola and Joković, Jugoslav and Stoimenov, Leonid and Đukić, Aleksandra",
year = "2018",
abstract = "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.",
publisher = "Belgrade : University, Faculty of Architecture",
journal = "Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade]",
title = "Analyses of public spaces in Belgrade using geo-referenced twitter data",
pages = "205-211",
url = "https://hdl.handle.net/21.15107/rcub_raf_638"
}