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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 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 language	English
Title of host publication	47th Hawaii International Conference on System Sciences, 2014
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1474-1483
ISBN (Print)	978-1-4799-2504-9
DOIs	https://doi.org/10.1109/HICSS.2014.190
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	47th Hawaii International Conference on System Sciences, HICSS 2014 - Waikoloa, HI, United States Duration: 6 Jan 2014 → 9 Jan 2014

Conference

Conference	47th Hawaii International Conference on System Sciences, HICSS 2014
Abbreviated title	HICSS 2014
Country/Territory	United States
City	Waikoloa, HI
Period	6/01/14 → 9/01/14

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10.1109/HICSS.2014.190

Cite this

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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'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",

year = "2014",

doi = "10.1109/HICSS.2014.190",

language = "English",

isbn = "978-1-4799-2504-9",

pages = "1474--1483",

booktitle = "47th Hawaii International Conference on System Sciences, 2014",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "47th Hawaii International Conference on System Sciences, HICSS 2014, HICSS 2014 ; Conference date: 06-01-2014 Through 09-01-2014",

}

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, 2014. IEEE Institute of Electrical and Electronic Engineers, 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, Jari; Huhtamäki, Jukka; Henttonen, Kaisa et al.
47th Hawaii International Conference on System Sciences, 2014. IEEE Institute of Electrical and Electronic Engineers, 2014. p. 1474-1483.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Visual network analysis of twitter data for co-organizing conferences

T2 - 47th Hawaii International Conference on System Sciences, HICSS 2014

AU - Jussila, Jari

AU - Huhtamäki, Jukka

AU - Henttonen, Kaisa

AU - Kärkkäinen, Hannu

AU - Still, Kaisa

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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DO - 10.1109/HICSS.2014.190

M3 - Conference article in proceedings

SN - 978-1-4799-2504-9

SP - 1474

EP - 1483

BT - 47th Hawaii International Conference on System Sciences, 2014

PB - IEEE Institute of Electrical and Electronic Engineers

Y2 - 6 January 2014 through 9 January 2014

ER -

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

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