Temporal Analysis of Social Media Response to Live Events: The Milano Fashion Week

  • Marco Brambilla
  • Stefano Ceri
  • Florian Daniel
  • Gianmarco Donetti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10360)

Abstract

Social media response to catastrophic events, such as natural disasters or terrorist attacks, has received a lot of attention. However, social media are also extremely important in the context of planned events, such as fairs, exhibits, festivals, as they play an essential role in communicating them to fans, interest groups, and the general population. These kinds of events are geo-localized within a city or territory and are scheduled within a public calendar. We consider a specific scenario, the Milano Fashion Week (MFW), which is an important event in our city.

We focus our attention on the spreading of social content in time, measuring the delay of the event propagation. We build different clusters of stakeholders (fashion brands), we characterize several features of time propagation and we correlate it to the popularity of involved actors. We show that the clusters by time and popularity are loosely correlated, and therefore the time response cannot be easily inferred. This motivates the development of a predictor through supervised learning in order to anticipate the space cluster of a new brand.

References

  1. 1.
    Arcaini, P., Bordogna, G., Ienco, D., Sterlacchini, S.: User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks. Inf. Sci. 340, 122–143 (2016)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Becker, H., Naaman, M., Gravano, L.: Learning Similarity Metrics for Event Identification in Social Media (2010)Google Scholar
  3. 3.
    Becker, H., Naaman, M., Gravano, L.: Beyond Trending Topics: Real-World Event Identication on Twitter (2011)Google Scholar
  4. 4.
    Bradford, J.: Fashion Journalism (2014)Google Scholar
  5. 5.
    Calabrese, F., Pereira, F.C., Lorenzo, G., Liu, L., Ratti, C.: The geography of taste: analyzing cell-phone mobility and social events. In: Floréen, P., Krüger, A., Spasojevic, M. (eds.) Pervasive 2010. LNCS, vol. 6030, pp. 22–37. Springer, Heidelberg (2010). doi:10.1007/978-3-642-12654-3_2 CrossRefGoogle Scholar
  6. 6.
    Chakrabarti, D., Punera, K.: Event Summarization using Tweets. Yahoo! Research (2011)Google Scholar
  7. 7.
    Chen, L., Roy, A.: Event Detection from Flickr Data through Wavelet-based Spatial Analysis (2009)Google Scholar
  8. 8.
    Chrisler, J., Fung, K., Lopez, A., Gorman, J.: Suffering by comparison: Twitter users’ reactions to the Victoria’s Secret Fashion Show. Body Image 10, 648–652 (2013)CrossRefGoogle Scholar
  9. 9.
    Entwistle, J., Rocamora, A.: The field of fashion materialized: a study of London fashion week. J. Sociol. 40, 735–751 (2006)Google Scholar
  10. 10.
    Guan, W., Gao, H., Yang, M., Li, Y., Ma, H., Qian, W., Cao, Z., Yang, X.: Analyzing user behavior of the micro-blogging website Sina Weibo during hot social events. Physica A 395, 340–351 (2014)CrossRefGoogle Scholar
  11. 11.
    Kim, A., Ko, E.: Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. J. Bus. Res. 65, 1480–1486 (2011)CrossRefGoogle Scholar
  12. 12.
    Manikonda, L., Venkatesan, R., Kambhampati, S., Li, B.: Trending Chic: Analyzing the Influence of Social Media on Fashion Brands. Department of Computer Science, Arizona State University (2016)Google Scholar
  13. 13.
    Okada, R., Stenger, B., Ike, T., Kondo, N.: Virtual Fashion Show Using Real-Time Markerless Motion Capture. Corporate Research & Development Center, Toshiba Corporation (2006)Google Scholar
  14. 14.
    de Vries, L., Gensler, S., Leeflang, P.: Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. J. Interact. Mark. 26, 83–91 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Marco Brambilla
    • 1
  • Stefano Ceri
    • 1
  • Florian Daniel
    • 1
  • Gianmarco Donetti
    • 1
  1. 1.Dipartimento di Elettronica, Informazione e BioingegneriaPolitecnico di MilanoMilanItaly

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