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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication47th Hawaii International Conference on System Sciences, HICSS 2014, 6.-9.1.2014, Waikoloa, HI
PublisherComputer Society Press
Pages1474-1483
Number of pages10
DOIs
Publication statusPublished - 2014
Publication typeA4 Article in a conference publication
EventAnnual Hawaii International Conference on System Sciences -
Duration: 1 Jan 1900 → …

Publication series

NameAnnual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
Period1/01/00 → …

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.

Publication forum classification

Field of science, Statistics Finland

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