Skip to main content

Listening to and Visualising the Pulse of Our Cities Using Social Media and Call Data Records

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

Abstract

Methods and technologies exist to capture a sharp digital reflection of a city and to track its evolution with a decreasing delay, but decision makers will not benefit from our ability to feel the pulse of a city unless we provide them with tools to visually perceive emerging patterns and observe their dynamics. This keynote reports on a two year long experience in feeling the pulse of Milan with CitySensing. This system–developed by Politecnico di Milano and Telecom Italia–allows fusing and visually making sense of social media streams and privacy-preserving aggregates of Call Data Records. The effectiveness of CitySensing was demonstrated during Milan Design Week 2013 and 2014 by realising a visual analytics dashboard for event managers and a public storytelling installation.

This is a preview of subscription content, log in via an institution.

Notes

  1. 1.

    http://jol.telecomitalia.com/jolskil/.

  2. 2.

    http://jol.telecomitalia.com/jolskil/citysensing/ and http://citysensing.fuorisalone.it/.

  3. 3.

    The Milan Design Week is a city-scale event held yearly in Milan. It features around 1,200 events in more than 500 places spread across the city and it attracts about half a million people from all over the world.

  4. 4.

    The vocabulary actually contains more terms, e.g., Grid and Cell, but in this short description we preferred a simplified description where the term Pixel is often used instead of Cell. We invite interested readers to check out [2] for more details.

  5. 5.

    4 frames per hour X 24 h X 2 (working and weed-end days) X 10.000 pixels.

  6. 6.

    http://www.w3.org/TR/activitystreams-core/.

  7. 7.

    Interested readers are invited to see the YouTube video http://youtu.be/MOBie09NHxM and to visit the page http://citysensing.fuorisalone.it.

  8. 8.

    Nowadays, this term is often used in the design of App interfaces, but the term roots back to user interface design in the late ’90s [12]. In this research, we adapt the methodology proposed in [12] to visual data analytics.

References

  1. Valle, E.D., Ceri, S., van Harmelen, F., Fensel, D.: It’s a streaming world! reasoning upon rapidly changing information. IEEE Intell. Syst. 24(6), 83–89 (2009)

    Article  Google Scholar 

  2. Balduini, M., Valle, E.D.: FraPPE: a vocabulary to represent heterogeneous spatio-temporal data to support visual analytics. In: Arenas, M., et al. (eds.) The Semantic Web - ISWC 2015. LNCS, pp. 321–328. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  3. Balduini, M., Valle, E.D., Ciuccarelli, P., Azzi, M., Larcher, R., Antonelli, F.: Citysensing: visual story telling of city-scale events by fusing social media streams and call data records captured at places and events. IEEE MultiMedia 22(3) (2015) To appear

    Google Scholar 

  4. Balduini, M., Della Valle, E., Dell’Aglio, D., Tsytsarau, M., Palpanas, T., Confalonieri, C.: Social listening of city scale events using the streaming linked data framework. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 1–16. Springer, Heidelberg (2013)

    Google Scholar 

  5. Margara, A., Urbani, J., van Harmelen, F., Bal, H.E.: Streaming the web: reasoning over dynamic data. J. Web Sem. 25, 24–44 (2014)

    Article  Google Scholar 

  6. Barbieri, D.F., Braga, D., Ceri, S., Valle, E.D., Grossniklaus, M.: Querying RDF streams with C-SPARQL. SIGMOD Record 39(1), 20–26 (2010)

    Article  Google Scholar 

  7. Balduini, M., Valle, E.D.: A restful interface for RDF stream processors. In: Blomqvist, E., Groza, T., (eds.): Proceedings of the ISWC 2013 Posters and Demonstrations Track, Sydney, Australia, 23 October, 2013, vol. 1035 of CEUR Workshop Proceedings, CEUR-WS.org, pp. 209–212 (2013)

    Google Scholar 

  8. Breslin, J.G., Decker, S., Harth, A., Bojars, U.: SIOC: an approach to connect web-based communities. IJWBC 2(2), 133–142 (2006)

    Article  Google Scholar 

  9. Kalekar, P.S.: Time series forecasting using holt-winters exponential smoothing. Kanwal Rekhi School of Information Technology 4329008, pp. 1–13 (2004)

    Google Scholar 

  10. Antonelli, F., Azzi, M., Balduini, M., Ciuccarelli, P., Valle, E.D., Larcher, R.: City sensing: visualising mobile and social data about a city scale event. In: Paolini, P., Garzotto, F., (eds.): International Working Conference on Advanced Visual Interfaces, AVI 2014, Como, Italy, 27–29 May 2014, pp. 337–338. ACM (2014)

    Google Scholar 

  11. Segel, E., Heer, J.: Narrative visualization: telling stories with data. IEEE Trans. Visual Comput. Graphics 16(6), 1139–1148 (2010)

    Article  Google Scholar 

  12. Wiedenbeck, S.: The use of icons and labels in an end user application program: an empirical study of learning and retention. Behav. Inf. Technol. 18(2), 68–82 (1999)

    Article  Google Scholar 

Download references

Acknowledgments

This work is partially funded by the SKIL Lab of Telecom Italia, the EIT Digital project City Data Fusion for Event Management (13119, 14189) and the IBM Faculty Award 2013 granted to prof. E. Della Valle. We also would like to thank Matteo Azzi, Fabrizio Antonelli, Paolo Ciuccarelli, Christian Marazzi, and Roberto Larcher who worked at the CitySensing project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Emanuele Della Valle .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Valle, E.D., Balduini, M. (2015). Listening to and Visualising the Pulse of Our Cities Using Social Media and Call Data Records. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26762-3_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics