Information visualization of Twitter data for co-organizing conferences

Jari Jussila; Jukka Huhtamäki; Hannu Kärkkäinen; Kaisa Still

doi:10.1145/2523429.2523482

Information visualization of Twitter data for co-organizing conferences

Jari Jussila, Jukka Huhtamäki, Hannu Kärkkäinen, Kaisa Still

Tampere University of Technology (TUT)

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

15 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 in 'during-conference' use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference's discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.

Original language	English
Title of host publication	AcademicMIndTrek '13
Subtitle of host publication	Proceedings of International Conference on Making Sense of Converging Media
Publisher	Association for Computing Machinery ACM
Pages	139-145
ISBN (Print)	978-1-4503-1992-8
DOIs	https://doi.org/10.1145/2523429.2523482
Publication status	Published - 2013
MoE publication type	A4 Article in a conference publication
Event	AcademicMindTrek '13: International Conference on Making Sense of Converging Media - Tampere, Finland Duration: 1 Oct 2013 → 4 Oct 2013

Conference

Conference	AcademicMindTrek '13
Country/Territory	Finland
City	Tampere
Period	1/10/13 → 4/10/13

Keywords

knowledge management
knowledge transfer
microblogging
information visualization
Twitter
conferences
co-organization

Access to Document

10.1145/2523429.2523482

http://urn.fi/URN:NBN:fi:tty-201401221052

Cite this

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title = "Information visualization of Twitter data for co-organizing conferences",

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 in 'during-conference' use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference's discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.",

keywords = "knowledge management, knowledge transfer, microblogging, information visualization, Twitter, conferences, co-organization",

author = "Jari Jussila and Jukka Huhtam{\"a}ki and Hannu K{\"a}rkk{\"a}inen and Kaisa Still",

note = "Project code: 81915; AcademicMindTrek '13 : International Conference on Making Sense of Converging Media ; Conference date: 01-10-2013 Through 04-10-2013",

year = "2013",

doi = "10.1145/2523429.2523482",

language = "English",

isbn = "978-1-4503-1992-8",

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booktitle = "AcademicMIndTrek '13",

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Jussila, J, Huhtamäki, J, Kärkkäinen, H & Still, K 2013, Information visualization of Twitter data for co-organizing conferences. in AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM, pp. 139-145, AcademicMindTrek '13, Tampere, Finland, 1/10/13. https://doi.org/10.1145/2523429.2523482

Information visualization of Twitter data for co-organizing conferences. / Jussila, Jari; Huhtamäki, Jukka; Kärkkäinen, Hannu et al.

AcademicMIndTrek '13: Proceedings of International Conference on Making Sense of Converging Media. Association for Computing Machinery ACM, 2013. p. 139-145.

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

TY - GEN

T1 - Information visualization of Twitter data for co-organizing conferences

AU - Jussila, Jari

AU - Huhtamäki, Jukka

AU - Kärkkäinen, Hannu

AU - Still, Kaisa

N1 - Project code: 81915

PY - 2013

Y1 - 2013

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 in 'during-conference' use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference's discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.

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 in 'during-conference' use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference's discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.

KW - knowledge management

KW - knowledge transfer

KW - microblogging

KW - information visualization

KW - Twitter

KW - conferences

KW - co-organization

U2 - 10.1145/2523429.2523482

DO - 10.1145/2523429.2523482

M3 - Conference article in proceedings

SN - 978-1-4503-1992-8

SP - 139

EP - 145

BT - AcademicMIndTrek '13

PB - Association for Computing Machinery ACM

T2 - AcademicMindTrek '13

Y2 - 1 October 2013 through 4 October 2013

ER -

Information visualization of Twitter data for co-organizing conferences

Abstract

Conference

Keywords

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