Gaining Knowledge from Georeferenced Social Media Data with Visual Analytics
Gennady Andrienko, Natalia Andrienko
Chapter from the book: Capineri, C et al. 2016. European Handbook of Crowdsourced Geographic Information.
Part of
Chapter from the book: Capineri, C et al. 2016. European Handbook of Crowdsourced Geographic Information.
Analysis of the collections of geographically referenced posts published in social media, such as Twitter, Flickr, and YouTube, can bring new knowledge about places, geographical objects, and events interesting to people, and about people’s mobility behaviours. Gaining knowledge from large data collections requires combining computational analysis with human interpretation, judgement, and reasoning, which, in turn, require appropriate visual representations of the data and analysis results. Visual analytics integrates computational analysis techniques with interactive visual interfaces to support collaborative human?computer analytical activities. We give a brief overview of visual analytics approaches to extracting various kinds of information and knowledge from georeferenced social media data.
Andrienko G. & Andrienko N. 2016. Gaining Knowledge from Georeferenced Social Media Data with Visual Analytics. In: Capineri, C et al (eds.), European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press. DOI: https://doi.org/10.5334/bax.l
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Published on Aug. 25, 2016