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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Visualization
Electric network analysis
Planning

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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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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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