Skip to main content

Advertisement

SpringerLink
Log in

CityPulse: A Platform Prototype for Smart City Social Data Mining

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

Abstract

Cities experience radical shifts from conventional areas of fragmented services and interactions, to whole-of-service and end-to-end providers, while their citizens are empowered primarily via social networking applications with geotagging capabilities. This work is motivated by the fact that the exploitation of a (smart) city’s social networking and collective awareness can lead to improvements in the citizens’ daily life and assist city’s crowd-wise policy and decision making. This challenging objective requires appropriate platforms which will not only offer analytics of the city’s social networking data threads but also aggregation and visualization of these data for revealing and highlighting latent information in terms of the city’s emerging topics and trends. The proposed CityPulse is a modular platform for offering smart city services based on social data analysis in the context of a city. CityPulse is based on the main principle that a carefully designed backend system supports appropriate data storage, aggregation and analysis methodologies, while the derived results are exposed through Web service interfaces to ensure interoperability with various smart city applications that serve the needs of various city stakeholders. Here, we indicatively describe a generic mobile front end interface that demonstrates the functionalities that can be implemented based on CityPulse results derived by geolocated social data mining. We also demonstrate the results of CityPulse’s application on an representative smart city case study which indicate that it can effectively capture and summarize social media user activities within the city and deliver useful latent information to interested city communities in an comprehensive, flexible manner.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Notes

  1. The EADIC project: http://eadic.teithessaly.gr

  2. The SEN2SOC experiment: http://smartsantander.eu/index.php/sen2soc

  3. IEEE smart cities definition: http://smartcities.ieee.org/about

  4. The EU SmartSantander project: http://smartsantander.eu

  5. The EU Peripheria project: http://peripheria.eu

  6. The EU EPIC project: http://epic-cities.eu

  7. PEOPLE project http://people-project.eu

  8. Smart-Islands project: http://smart-islands.eu

  9. Improve My City: http://improve-my-city.com

  10. City Sourced: http://citysourced.com

  11. Tripavisor: http://tripadvisor.com

  12. Wikivoyage: http://wikivoyage.org

  13. Flickr API: http://flickr.com/services/api

  14. Foursquare Venues Platform: http://developer.foursquare.com/overview/venues

  15. Apache Storm: http://storm.apache.org

  16. This geographic division is reviewed every 10 years and sections of Santander are adapted according to various operational criteria, such as the constraint of 2000 inhabitants per section.

  17. All figures presented in this section correspond to the Santander case study.

References

  • Anthopoulos, L. (2015). Defining Smart City Architecture for Sustainability. In 4th IFIP Electronic Government (EGOV) and 7th Electronic Participation (ePart) Conference.

  • Anthopoulos, L., & Fitsilis, P. (2015). Social Networks in Smart Cities: Comparing Evaluation Models. In Proceedings of the First IEEE International Smart Cities Conference (ISC2-2015).

  • Chen, L., & Roy, A. (2009). Event detection from flickr data through wavelet-based spatial analysis. In Proceedings of the 18th ACM Conference on Information and Knowledge Management, ACM, New York, NY, USA, CIKM ’09 (pp. 523–532).

  • Deerwester, S., Dumais, TS., Furnas, WG., Landauer, KT., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391–407.

    Article  Google Scholar 

  • Georgiev, P., Noulas, A., & Mascolo, C. (2014). The Call of the Crowd: Event participation in location-based social services. e-prints arXiv:1403.7657.

  • Hollands, R.G. (2008). Will the real Smart City please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303–320.

    Article  Google Scholar 

  • International Telecommunications Union (2015). Technical Specifications on Setting the framework for an ICT architecture of a smart sustainable city (SSC-0345). http://www.itu.int/en/ITU-T/focusgroups/ssc/Pages/default.aspx.

  • Komninos, A., Besharat, J., Ferreira, D., & Garofalakis, J. (2013). HotCity: enhancing ubiquitous maps with social context heatmaps. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia, ACM (p. 52).

  • Kumar, S., Barbier, G., Abbasi, M., & Liu, H. (2011). Tweettracker: an analysis tool for Humanitarian and disaster relief. In International AAAI Conference on Web and Social Media (ICWSM).

  • Masutani, O., & Iwasaki, H. (2007). BEIRA: a Geo-semantic clustering method for area summary. In Proceedings of the 8th International Conference on Web Information Systems Engineering, Springer-Verlag, Berlin, Heidelberg, WISE ’07 (pp. 111–122).

  • Nam, T., & Pardo, T.A. (2011). Conceptualizing smart city with dimensions of technology, people, and institutions. In Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, ACM, New York, NY, USA, dg.o ’11 (pp. 282–291).

  • Papadopoulos, S., Zigkolis, C., Kompatsiaris, Y., & Vakali, A. (2010). Cluster-based landmark and event detection for tagged photo collections. IEEE MultiMedia (1):52–63.

  • Sakaki, T., Okazaki, M., & Matsuo, Y. (2010). Earthquake shakes Twitter users: real-time event detection by social sensors. In Proceedings of the 19th international conference on World Wide Web, ACM (pp. 851–860).

  • Tsampoulatidis, I., Ververidis, D., Tsarchopoulos, P., Nikolopoulos, S., Kompatsiaris, I., & Komninos, N. (2013). ImproveMyCity: An open source platform for direct citizen - government communication. In Proceedings of the 21st ACM international conference on multimedia, ACM (pp. 839–842).

  • Vakali, A., Giatsoglou, M., & Antaris, S. (2012). Social networking trends and dynamics detection via a cloud-based framework design. In Proceedings of the 21st International Conference companion on World Wide Web, ACM Press (pp. 1213–1220).

  • Vakali, A., Angelis, L., & Giatsoglou, M. (2013). Sensors talk and humans sense: towards a reciprocal collective awareness Smart City framework. In Proceedings of the 2013 IEEE International Conference on Communications Workshops (ICC) (pp. 189–193).

  • Watanabe, K., Ochi, M., Okabe, M., & Onai, R. (2011). Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management, ACM, New York, NY, USA, CIKM ’11 (pp. 2541–2544).

Download references

Author information

Authors and Affiliations

  1. Informatics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Maria Giatsoglou, Despoina Chatzakou, Vasiliki Gkatziaki & Athena Vakali

  2. Department of Business Administration, TEI of Thessaly, Larissa, Greece

    Leonidas Anthopoulos

Authors
  1. Maria Giatsoglou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Despoina Chatzakou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vasiliki Gkatziaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Athena Vakali
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Leonidas Anthopoulos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maria Giatsoglou.

Additional information

This research has been co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program ”Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: “ARCHIMEDES III. Investing in knowledge society through the European Social Fund”, as well as by the European Commission through the SmartSantander FP7-ICT project.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Giatsoglou, M., Chatzakou, D., Gkatziaki, V. et al. CityPulse: A Platform Prototype for Smart City Social Data Mining. J Knowl Econ 7, 344–372 (2016). https://doi.org/10.1007/s13132-016-0370-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13132-016-0370-z

Keywords

Search

Navigation