Abstract
The goal of this paper is to present a tool-based methodology which has been developed to analyze messages sent on the Twitter social network. This methodology implements quantitative and qualitative analyses, which were benchmarked with the “MuseumWeek” event.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of twitter data. In: ACL, Workshop on Language in Social Media, pp. 30–38 (2011)
Ballé, C.: Mussées, changement et organisation. Culture et Musées 2, 17–33 (2003)
Benhamou, F.: L’economie de la culture. La Découverte, Paris (2000)
Bollen, J., Mao, H., Zeng, X.: Election Forecasts with Twitter: How 140 Characters Reflect the Political Landscape. Journal of Computational Science 2–1, 1–8 (2011)
Bouquillion, P., Miège, B., Moeglin, P.: L’industrialisation des biens symboliques. Les industries créatives en regard des industries culturelles. PUG, Grenoble (2013)
Bouquillion, P.: Concentration, financiarisation et relations entre les industries de la culture et industries de la communication. Revue française des SIC (2012)
Courtin, A.: Information visualization and data collection: a challenge to analyze the actions of cultural institution professionals on social networks. In: Museums and the Web 2015 (submitted 2015)
Ellison, N., Boyd, D.: The Oxford Handbook of Internet Studies. Oxford University Press (2007)
Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The Rise of social Bots. Tech. Rep. 1407.5225, arXiv (2014)
Grinter, R.E., Aoki, P.M., Hurst, A.S.M.H., Thornton, J.D., Woodruff, A.: Revisiting the visit: Understanding how technology can shape the museum visit. In: Association for Computing Machinery Conference on Computer Supported Cooperative Work, pp. 146–155. ACM press, New Orleans, LA (2002)
Johnson, L., al.: The NMC Horizon Report: 2012, 2013, Museum Edition. The New Media Consortium, Austin, Texas (2012)
Juanals, B.: Médiation culturelle et circulation des connaissances à l’ère numérique : information institutionnelle, pratiques éditoriales, pratiques informationnelles et dispositifs socio-techniques. Tech. rep., University Paris Ouest Nanterre La Défense, Labex "Les passés dans le présent (2013)
Juanals, B.: Museums as Reterritorialization Spaces in the Digital Age: between Knowledge Publishing and Institutional Communication. Journal of Inclusive Museum p. 8 (Accepted 2014)
Kouloumpis, E., Wilson, T., Moore, J.: Twitter sentiment analysis: The good the bad and the OMG! In: fifth international conference on weblogs and social media (2011)
Lin, Y., Keegan, B., Margolin, D., Lazer, D.: Rising tides or rising stars?: Dynamics of shared attention on Twitter during media events. CoRR abs/1307.2785(5), 127–165 (2013)
Makhoul, J., Scwartz, R., Weischdel, R.: Performance Measures for Information Extraction. In: DARPA Broadcast News Workshop, pp. 249–252 (1999)
Millerand, F., Proulx, S., Rueff, J.: Web social. Mutation de la communication. Presses de l’université du québec edn (2010)
O’Connory, B., Balasubramanyan, R., Routledge, B., Smithy, A.: From Tweets to Polls : Linking Text Sentiment to Puvlic Opinion Time Series. In: 48th International AAI Conference on Weblogs and Social Media (2010)
Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: LREC 2010, pp. 1320–1326 (2010)
Pang, B., Lee, L.S.V.: Thumbs up? Sentiment Classification Using machine Learning Techniques. In: ACL-02 Conference on Empirical Methods in Natural language Processing, pp. 79–86 (2002)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake Shakes Twitter Users : Real-time Event Detection by Social Sensors. In: 19th International Conference on World Wide Web, pp. 851–860 (2010)
Seminck, O.: Prototype d’un Classifieur de Tweets à Buts Communicatifs. Tech. rep., University Paris Ouest Nanterre La Défense (2014)
Thelwall, M., Buckley, K., Paltoglou, C.D., Kappas, A.: Sentiment Strength Detection for the Social Web. Journal of the American Society for Information Science and Technology 63(1), 163–176 (2010)
Tobelem, J.M.: De l’approche marketing dans les musées. Culture et Musées 2, 49–70 (1992)
Tumasjan, A., Sprenger, O., Sandne, R.P., Welpe, M.: Election Forecasts with Twitter: How 140 Characters Reflect the Political Landscape. Social Science Computer Review 29–4, 402–418 (2011)
Watkins, J., Russo, A.: New media design for cultural institutions. In: Proceedings of the 2005 conference on Designing for User eXperience. AIGA: American Institute of Graphic Arts (2005)
Weilenmann, A., Hillman, T., Jungselius, B.: Instagram at the museum: Communicating the museum experience through social photo sharing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 1843–1852. ACM, New York, NY, USA (2013). http://doi.acm.org/10.1145/2470654.2466243
Welfare, T., Lampos, V., Cristiani, N.: Effects of the Recession on Public Mood in the UK. In: 21st International Conference Companion on World Wide Web, pp. 1221–1226 (2012)
Zimmer, M., Proferes, J.: A topology of Twitter research: disciplines, methods, and ethics. Journal of the American Society for Information Science and Technology 66–3, 250–261 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Courtin, A., Juanals, B., Minel, JL., de Saint Léger, M. (2015). A Tool-Based Methodology to Analyze Social Network Interactions in Cultural Fields: The Use Case “MuseumWeek”. In: Aiello, L., McFarland, D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science(), vol 8852. Springer, Cham. https://doi.org/10.1007/978-3-319-15168-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-15168-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15167-0
Online ISBN: 978-3-319-15168-7
eBook Packages: Computer ScienceComputer Science (R0)