publication . Article . 2016

A social network analysis of Twitter: Mapping the digital humanities community

Martin Grandjean;
Open Access English
  • Published: 15 Apr 2016
  • Publisher: HAL CCSD
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 a...
Persistent Identifiers
free text keywords: Digital Humanities, Social Network Analysis, Twitter social network, Twitter users’ behavior, Graph theory, Digital studies, Social media, Social media analysis, Social networks visualization, Data visualization, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [SHS.SOCIO]Humanities and Social Sciences/Sociology, [SHS.HISPHILSO]Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, General Arts and Humanities, [ INFO.INFO-SI ] Computer Science [cs]/Social and Information Networks [cs.SI], [ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC], [ SHS.STAT ] Humanities and Social Sciences/Methods and statistics, [ SHS.SOCIO ] Humanities and Social Sciences/Sociology, [ SHS.HISPHILSO ] Humanities and Social Sciences/History, Philosophy and Sociology of Sciences, Digital humanities; Social network analysis; Data visualisation; Social media; Twitter; Humanités numériques, twitter, data visualisation, sociometry, networks, Sociometry, Social network analysis, Social network, business.industry, business, Social media optimization, Community of practice, Social media, Digital humanities, Data science, Sociology, Network analysis, Multimedia, computer.software_genre, computer, lcsh:Fine Arts, lcsh:N, lcsh:Arts in general, lcsh:NX1-820, lcsh:General Works, lcsh:A, lcsh:History of scholarship and learning. The humanities, lcsh:AZ20-999
Related Organizations
30 references, page 1 of 2

Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media, 361-362.

Beguerisse-Diaz, M., Garduno-Hernandez, G., Vangelov, B., Yaliraki, S. N., & Barahona, M. (2014). Interest communities and oflw roles in directed networks: The Twitter network of the UK riots. Journal of the Royal Society Interface, 0940. doi:10.1098/rsif.2014.0940

Boyadjian, J. (2014). Twitter, un nouveau “baromètre de l'opinion publique”? Participations, 55-74.

Casilli, A., & Tubaro, P. (2012). Social media censorship in times of political unrest-A social simulation experiment with the UK riots. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 115, 5-20. [OpenAIRE]

Darmon, D., Omodei, E., & Garland, J. (2015). Followers are not enough: A multifaceted approach to community detection in online social networks. PloS ONE. 10, e0134860. doi: 10.1371/journal.pone.0134860 [OpenAIRE]

Duggan, M., Ellison, N. B., Lampe, C., Lenhart, A., & Madden, M. (2015). Social media update 2014. Pew Research Center. Retrieved from social-media-update-2014/

Freeman, L. (1978). Centrality in social networks: Conceptual claricfiation. Social Networks, 1, 215-239.

Grandjean, M. (2015a). Introduction à la visualisation de données: l'analyse de réseau en histoire. Geschichte und Informatik, 18, 109-128. [OpenAIRE]

Grandjean, M. (2015b). THATCamp geography. Retrieved from data-visualization-thatcamp-geography/

Grandjean, M., & Rochat, Y. (2014). The digital humanities network on Twitter (#DH2014). Retrieved from dataviz-digital-humanities-twitter-dh2014/

Hale, S. A. (2014). Global connectivity and multilinguals in the Twitter network. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 833-842.

Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M., & Larivière, V. (2014). Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature. Journal of the Association for Information Science and Technology, 65, 656-669. asi.23101

Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PloS ONE, 9, 1-12.

Jussila, J., Huhtamaki, J., Henttonen, K., Karkkainen, H., & Still, K. (2014). Visual network analysis of Twitter data for co-organizing conferences: Case CMAD 2013. System Sciences (HICSS), 1474-1483. [OpenAIRE]

Milgram, S. (1967). The small-world problem. Psychology Today, 2, 60-67.

30 references, page 1 of 2
Any information missing or wrong?Report an Issue