Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013
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Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013. / Jussila, Jari; Huhtamäki, Jukka; Henttonen, Kaisa; Kärkkäinen, Hannu; Still, Kaisa.
47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI. Computer Society Press, 2014. p. 1474-1483 (Annual Hawaii International Conference on System Sciences).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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TY - GEN
T1 - Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013
AU - Jussila, Jari
AU - Huhtamäki, Jukka
AU - Henttonen, Kaisa
AU - Kärkkäinen, Hannu
AU - Still, Kaisa
N1 - Contribution: organisation=tlo,FACT1=0.5<br/>Contribution: organisation=mat,FACT2=0.5<br/>Portfolio EDEND: 2014-03-15<br/>Publisher name: Computer Society Press
PY - 2014
Y1 - 2014
N2 - 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.
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.
U2 - 10.1109/HICSS.2014.190
DO - 10.1109/HICSS.2014.190
M3 - Conference contribution
T3 - Annual Hawaii International Conference on System Sciences
SP - 1474
EP - 1483
BT - 47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI
PB - Computer Society Press
ER -