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 article in proceedingsScientificpeer-review

    11 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationAcademicMIndTrek '13
    Subtitle of host publicationProceedings of International Conference on Making Sense of Converging Media
    PublisherAssociation for Computing Machinery ACM
    Pages139-145
    ISBN (Print)978-1-4503-1992-8
    DOIs
    Publication statusPublished - 2013
    MoE publication typeNot Eligible
    Event17th International Academic MindTrek Conference - Tampere, Finland
    Duration: 1 Oct 20134 Oct 2013

    Conference

    Conference17th International Academic MindTrek Conference
    CountryFinland
    CityTampere
    Period1/10/134/10/13

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    Keywords

    • knowledge management
    • knowledge transfer
    • microblogging
    • information visualization
    • Twitter
    • conferences
    • co-organization

    Cite this

    Jussila, J., Huhtamäki, J., Kärkkäinen, H., & Still, K. (2013). Information visualization of Twitter data for co-organizing conferences. In AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media (pp. 139-145). Association for Computing Machinery ACM. https://doi.org/10.1145/2523429.2523482
    Jussila, Jari ; Huhtamäki, Jukka ; Kärkkäinen, Hannu ; Still, Kaisa. / Information visualization of Twitter data for co-organizing conferences. AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM, 2013. pp. 139-145
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    title = "Information visualization of Twitter data for co-organizing conferences",
    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.",
    keywords = "knowledge management, knowledge transfer, microblogging, information visualization, Twitter, conferences, co-organization",
    author = "Jari Jussila and Jukka Huhtam{\"a}ki and Hannu K{\"a}rkk{\"a}inen and Kaisa Still",
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    Jussila, J, Huhtamäki, J, Kärkkäinen, H & Still, K 2013, Information visualization of Twitter data for co-organizing conferences. in AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM, pp. 139-145, 17th International Academic MindTrek Conference, Tampere, Finland, 1/10/13. https://doi.org/10.1145/2523429.2523482

    Information visualization of Twitter data for co-organizing conferences. / Jussila, Jari; Huhtamäki, Jukka; Kärkkäinen, Hannu; Still, Kaisa.

    AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM, 2013. p. 139-145.

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

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    AU - Huhtamäki, Jukka

    AU - Kärkkäinen, Hannu

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    AB - 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.

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    KW - knowledge transfer

    KW - microblogging

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    KW - conferences

    KW - co-organization

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    Jussila J, Huhtamäki J, Kärkkäinen H, Still K. Information visualization of Twitter data for co-organizing conferences. In AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM. 2013. p. 139-145 https://doi.org/10.1145/2523429.2523482