Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013

Jari Jussila, Jukka Huhtamäki, Kaisa Henttonen, Hannu Kärkkäinen, Kaisa Still

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

    11 Citations (Scopus)
    124 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 use before, during and after conference. We present a case study based on an conference of Community Manager Appreciation Day (CMAD 2013). With the process of data-driven visual network analysis, we used Twitter data to analyse the network of conference participants and the conference’s discussion topics. We were able to identify e.g. influential conference participants, most interesting presentations and discussions, similarities between interests of the conference participants. Hence, several development and information needs of conference co-organization were derived from the information visualizations, which have implications for improving the planning and co-organizing of conferences, as well as for Twitter use in conference communication.
    Translated title of the contributionVisual network analysis of Twitter data for co-organizing conferences: case CMAD 2013
    Original languageEnglish
    Title of host publication47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI
    PublisherComputer Society Press
    Pages1474-1483
    Number of pages10
    DOIs
    Publication statusPublished - 2014
    Publication typeA4 Article in conference proceedings
    EventAnnual Hawaii International Conference on System Sciences -
    Duration: 1 Jan 1900 → …

    Publication series

    NameAnnual Hawaii International Conference on System Sciences
    ISSN (Print)1530-1605

    Conference

    ConferenceAnnual Hawaii International Conference on System Sciences
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

    Fingerprint

    Dive into the research topics of 'Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013'. Together they form a unique fingerprint.

    Cite this