Visual network analysis of twitter data for co-organizing conferences: Case CMAD 2013

J Jussila, J Huhtamäki, K Henttonen, H Kärkkäinen, Kaisa Still

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

9 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 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
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication47th Hawaii International Conference on System Sciences, 2014
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1474-1483
ISBN (Print)978-147992504-9
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
Event47th Hawaii International Conference on System Sciences, HICSS 2014 - Waikoloa, HI, United States
Duration: 6 Jan 20149 Jan 2014

Conference

Conference47th Hawaii International Conference on System Sciences, HICSS 2014
Abbreviated titleHICSS 2014
CountryUnited States
CityWaikoloa, HI
Period6/01/149/01/14

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Electric network analysis
Visualization
Managers
Planning
Communication

Cite this

Jussila, J., Huhtamäki, J., Henttonen, K., Kärkkäinen, H., & Still, K. (2014). Visual network analysis of twitter data for co-organizing conferences: Case CMAD 2013. In Proceedings: 47th Hawaii International Conference on System Sciences, 2014 (pp. 1474-1483). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/HICSS.2014.190
Jussila, J ; Huhtamäki, J ; Henttonen, K ; Kärkkäinen, H ; Still, Kaisa. / Visual network analysis of twitter data for co-organizing conferences : Case CMAD 2013. Proceedings: 47th Hawaii International Conference on System Sciences, 2014. Institute of Electrical and Electronic Engineers IEEE, 2014. pp. 1474-1483
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Jussila, J, Huhtamäki, J, Henttonen, K, Kärkkäinen, H & Still, K 2014, Visual network analysis of twitter data for co-organizing conferences: Case CMAD 2013. in Proceedings: 47th Hawaii International Conference on System Sciences, 2014. Institute of Electrical and Electronic Engineers IEEE, pp. 1474-1483, 47th Hawaii International Conference on System Sciences, HICSS 2014, Waikoloa, HI, United States, 6/01/14. https://doi.org/10.1109/HICSS.2014.190

Visual network analysis of twitter data for co-organizing conferences : Case CMAD 2013. / Jussila, J; Huhtamäki, J; Henttonen, K; Kärkkäinen, H; Still, Kaisa.

Proceedings: 47th Hawaii International Conference on System Sciences, 2014. Institute of Electrical and Electronic Engineers IEEE, 2014. p. 1474-1483.

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

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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 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

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Jussila J, Huhtamäki J, Henttonen K, Kärkkäinen H, Still K. Visual network analysis of twitter data for co-organizing conferences: Case CMAD 2013. In Proceedings: 47th Hawaii International Conference on System Sciences, 2014. Institute of Electrical and Electronic Engineers IEEE. 2014. p. 1474-1483 https://doi.org/10.1109/HICSS.2014.190