Analysing Cultural Events on Twitter

1. Shou-De, L., et al. (eds.): 2nd Workshop on Natural Language Processing for Social Media. Association for Computational Linguistics and Dublin City University (2014)

   Google Scholar 

2. Blondel, V., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. 2008(10), P10008 (2008)

   Article  Google Scholar 

3. Courtin, A., Juanals, B., Minel, J., de Saint Léger, M.: A tool-based methodology to analyze social network interactions in cultural fields: the use case MuseumWeek. In: 6th International Conference on Social Informatics (SocInfo 2014), pp. 144–156 (2014)

   Google Scholar 

4. Djemili, S., Longhi, J., Marinica, C., Kotzinos, D., Sarfat, G.E.: What does Twitter have to say about ideology? In: NLP 4 CMC: Natural Language Processing for Computer-Mediated Communication, pp. 16–25 (2014)

   Google Scholar 

5. Espinos, A.: Museums on social media: analyzing growth through case studies. In: Museums and the Web (2016)

   Google Scholar 

6. Fletcher, A., Lee, M.: Current social media uses and evaluations in American museums. Mus. Manag. Curatorship 27, 505–521 (2012)

   Article  Google Scholar 

7. Foucault, N., Courtin, A.: Automatic classification of tweets for analyzing communication behavior museums. LREC 2016, 3006–3013 (2017)

   Google Scholar 

8. Juanals, B., Minel, J.: Information flow on digital social networks during a cultural event: methodology and analysis of the european night of museums 2016 on Twitter. In: SMS+Society Special Issue (2017)

   Google Scholar 

9. Kothari, A., Magdy, W., Darwish, K., Mourad, A., Taei, A.: Detecting comments on news articles in microblogs. In: Kiciman, E., et al. (eds.) 7th International Conference on Web and Social Media (ICWSM). The AAAI Press (2013)

   Google Scholar 

10. Langa, L.: Does Twitter help museums engage with visitors? In: iSchools IDEALS, pp. 484–495. University of Illinois, Aix-les-Thermes (2014)

    Google Scholar 

11. Lovejoy, K., Saxton, G.D.: Information, community, and action: how nonprofit organizations use social media. J. Comput.-Mediated Commun. 17(3), 337–353 (2012)

    Article  Google Scholar 

12. Van der Maaten, L., Hinton, G.: Visualizing high-dimensional data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008)

    MATH  Google Scholar 

13. Missier, P., Romanovsky, A., Miu, T., Pal, A., Daniilakis, M., Garcia, A., Cedrim, D., da Silva Sousa, L.: Tracking dengue epidemics using twitter content classification and topic modelling. In: Casteleyn, S., Dolog, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9881, pp. 80–92. Springer, Cham (2016). doi:10.1007/978-3-319-46963-8_7

    Chapter  Google Scholar 

14. Osterman, M., Thirunarayanan, M., Ferris, E., Pabon, L., Paul, N., Berger, R.: Museums and Twitter: an exploratory qualitative study of how museums use Twitter for audience development and engagement. J. Educ. Multimedia Hypermedia 21(3), 241–255 (2012)

    Google Scholar 

15. Sakaki, T., Okazaki, M., Matsuo, Y.: Tweet analysis for real-time event detection and earthquake, reporting system development. IEEE Trans. Knowl. Data Eng. 25(4), 919–931 (2013)

    Article  Google Scholar 

16. Shiri, A., Rathi, D.: Twitter content categorisation: a public library perspective. J. Inf. Knowl. Manag. 12(4), 1350035 (2013)

    Article  Google Scholar 

17. Villaespesa Cantalapiedra, H.: Measuring social media success: the value of the balanced scorecard as a tool for evaluation and strategic management in museum. Ph.D. thesis, University of Leicester (2015)

    Google Scholar 

Download references