<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

a social network analysis of twitter mapping the digital humanities community

Name: A social network analysis of Twitter: Mapping the digital humanities community
Creator: Martin Grandjean
Keywords: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], social network analysis, lcsh:Fine Arts, Fine Arts, social media, Arts in general, lcsh:A, 02 engineering and technology, NX1-820, General Works

descriptionPublicationkeyboard_double_arrow_right Journal , Article 15 Apr 2016Publisher:Informa UK LimitedJournal:Cogent Arts & Humanities, volume 3, page 1,171,458 (eissn: 2331-1983,

Authors: Martin Grandjean;

doi: 10.1080/23311983.2016.1171458

a social network analysis of twitter mapping the digital humanities community

- Summary
- Subjects
- Metrics

Abstract

International audience; Defining digital humanities might be an endless debate if we stick to the discussion about the boundaries of this concept as an academic “discipline”. In an attempt to concretely identify this field and its actors, this paper shows that it is possible to analyse them through Twitter, a social media widely used by this “community of practice”. Based on a network analysis of 2,500 users identified as members of this movement, the visualisation of the “who’s following who?” graph allows us to highlight the structure of the network’s relationships, and identify users whose position is particular. Specifically, we show that linguistic groups are key factors to explain clustering within a network whose characteristics look similar to a small world.

Related Organizations

University of Lausanne
Switzerland

Keywords

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], social network analysis, Fine Arts, social media, Arts in general, NX1-820, General Works, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], Digital Humanities, Social media, [SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, A, AZ20-999, sociometry, digital studies, Twitter users’ behavior, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [SHS.SOCIO]Humanities and Social Sciences/Sociology, data visualisation, Twitter social network, Data visualization, Digital humanities; Social network analysis; Data visualisation; Social media; Twitter; Humanités numériques, Digital studies, N, Social networks visualization, Graph theory, networks, twitter, History of scholarship and learning. The humanities, Social media analysis, digital humanities, Social Network Analysis, lcsh: lcsh:Fine Arts, lcsh: lcsh:A, lcsh: lcsh:AZ20-999, lcsh: lcsh:NX1-820, lcsh: lcsh:Arts in general, lcsh: lcsh:History of scholarship and learning. The humanities, lcsh: lcsh:N, lcsh: lcsh:General Works

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	117
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%