Title :
Visual Network Analysis of Twitter Data for Co-organizing Conferences: Case CMAD 2013
Author :
Jussila, Jari ; Huhtamaki, Jukka ; Henttonen, Kaisa ; Karkkainen, Hannu ; Still, Kaisa
Author_Institution :
Tampere Univ. of Technol., Tampere, Finland
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.
Keywords :
data analysis; data visualisation; information needs; social networking (online); CMAD; Community Manager Appreciation Day; Twitter data; Twitter usage; conference co-organization; conference communication; conference participant network analysis; conference planning; data-driven visual network analysis; information needs; information visualization; social media data; Communities; Data visualization; Media; Organizations; Twitter; Visualization; Twitter; co-organization; conference; information visualization; social network analysis; visual network analysis;
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
DOI :
10.1109/HICSS.2014.190