Information visualization of Twitter data for co-organizing conferences

Jari Jussila, Jukka Huhtamäki, Hannu Kärkkäinen, Kaisa Still

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    15 Citations (Scopus)
    45 Downloads (Pure)

    Abstract

    The aim of this research is to explore what kinds of insights information visualization of social media data can provide for co-organizing conferences. Our paper focuses on Twitter in ‘during-conference’ use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference’s discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.
    Translated title of the contributionInformation visualization of Twitter data for co-organizing conferences
    Original languageEnglish
    Title of host publication17th International Academic MindTrek Conference, October 1-4, 2013, Tampere, Finland
    Place of PublicationNew York, NY
    PublisherACM
    Pages139-145
    Number of pages7
    ISBN (Print)978-1-4503-1992-8
    DOIs
    Publication statusPublished - 2013
    Publication typeA4 Article in conference proceedings

    Publication series

    NameMindTrek Conference

    Publication forum classification

    • Publication forum level 1

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