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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 proceedingConference contributionScientificpeer-review

Harvard

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 47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI. Annual Hawaii International Conference on System Sciences, Computer Society Press, pp. 1474-1483, Annual Hawaii International Conference on System Sciences, 1/01/00. https://doi.org/10.1109/HICSS.2014.190

APA

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 47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI (pp. 1474-1483). (Annual Hawaii International Conference on System Sciences). Computer Society Press. https://doi.org/10.1109/HICSS.2014.190

Vancouver

Jussila J, Huhtamäki J, Henttonen K, Kärkkäinen H, Still K. Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013. In 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). https://doi.org/10.1109/HICSS.2014.190

Author

Jussila, Jari ; Huhtamäki, Jukka ; Henttonen, Kaisa ; Kärkkäinen, Hannu ; Still, Kaisa. / Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013. 47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI. Computer Society Press, 2014. pp. 1474-1483 (Annual Hawaii International Conference on System Sciences).

Bibtex - Download

@inproceedings{4ce286f4dd43481eac7d9c2e51d3bee1,
title = "Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013",
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.",
author = "Jari Jussila and Jukka Huhtam{\"a}ki and Kaisa Henttonen and Hannu K{\"a}rkk{\"a}inen and Kaisa Still",
note = "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",
year = "2014",
doi = "10.1109/HICSS.2014.190",
language = "English",
series = "Annual Hawaii International Conference on System Sciences",
publisher = "Computer Society Press",
pages = "1474--1483",
booktitle = "47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI",

}

RIS (suitable for import to EndNote) - Download

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 -