DOI: 10.5593/SGEM2014/B21/S8.101

SPATIAL ANALYSES OF TWITТER DATA – CASE STUDIES

V. Paszto, F. Darena, L. Marek, D. Fuskova
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 785-792 pp

ABSTRACT
Nowadays, thanks to integration of information and communication technologies to
everyday life, huge volumes of information generated by different kinds of subjects
emerge. This information might be a valuable source for decision support in many
domains of business, political and personal spatial activities. One of such sources is microblog system or social network with enabling blogging, i.e. sharing short text
messages by the users of these systems (such as Twitter). During the analysis of the collected Twitter data via Twitter API the text messages were processed and also supplementary information including actors’ characteristics, place and data of the origin of the message etc. were analysed. In the presented case studies, text data from social network Twitter were processed, analysed and visualized. Individual posts have associated, besides other things, geographical coordinates and they can be thus attached to a certain place on the Earth. Spatial analyses with application in many domains might be therefore applied to the data. The first case study focused on analysis of customer behaviour in the field of alcoholic beverages consumption around the end of the year 2013 in the Czech Republic. The second case study focused on geopolitical events on-going in Ukraine
these days (spring 2014) and on related geolocated tweets about these events. Both case studies were performed using spatial analyses tools in GIS as well as cartographically visualized on a map.

Keywords: Spatial Analysis, Social Networks, GIS, Twitter, Visualization, Ukraine

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