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

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

doi:10.1109/HICSS.2014.190

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

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

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

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

11 Sitaatiot (Scopus)

124 Lataukset (Pure)

Abstrakti

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.

Julkaisun otsikon käännös	Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013
Alkuperäiskieli	Englanti
Otsikko	47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI
Kustantaja	Computer Society Press
Sivut	1474-1483
Sivumäärä	10
DOI - pysyväislinkit	https://doi.org/10.1109/HICSS.2014.190
Tila	Julkaistu - 2014
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES - Kesto: 1 tammik. 1900 → …

Julkaisusarja

Nimi	Annual Hawaii International Conference on System Sciences
ISSN (painettu)	1530-1605

Conference

Conference	ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES
Ajanjakso	1/01/00 → …

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1109/HICSS.2014.190

Jussila visual network analysis of twitter data
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http://urn.fi/URN:NBN:fi:tty-201401221053

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

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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{\textquoteright}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",

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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. julkaisussa 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, Sivut 1474-1483, ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 1/01/00. https://doi.org/10.1109/HICSS.2014.190

Visual network analysis of Twitter data for co-organizing conferences: case CMAD 2013. / Jussila, Jari; Huhtamäki, Jukka; Henttonen, Kaisa et al.

47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI. Computer Society Press, 2014. s. 1474-1483 (Annual Hawaii International Conference on System Sciences).

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

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AU - Jussila, Jari

AU - Huhtamäki, Jukka

AU - Henttonen, Kaisa

AU - Kärkkäinen, Hannu

AU - Still, Kaisa

N1 - Contribution: organisation=tlo,FACT1=0.5 Contribution: organisation=mat,FACT2=0.5 Portfolio EDEND: 2014-03-15 Publisher name: Computer Society Press

PY - 2014

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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.

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

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

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