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  • 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.

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    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.

    How to cite this chapter
    Andrienko G. & Andrienko N. 2016. Gaining Knowledge from Georeferenced Social Media Data with Visual Analytics. In: Capineri, C et al, European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press. DOI: https://doi.org/10.5334/bax.l
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    This is an Open Access chapter distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

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    This book has been peer reviewed. See our Peer Review Policies for more information.

    Additional Information

    Published on Aug. 25, 2016

    DOI
    https://doi.org/10.5334/bax.l


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