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Georeferencing in Social Networks

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Social Media Retrieval

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Mobile devices are increasingly the primary way people access information on the Web. More and more users are carrying small computing devices with them wherever they go and can access the Internet regardless of their location. Whereas prior to the wide adoption of mobile devices, a user’s online life and offline life were partitioned by time and location, now there is less of a division. Users can carry their online friends with them and maintain a constant contact in the form of status updates and uploaded pictures and video, in a running social commentary that blurs the distinction between online and offline interactions. This has lead to a proliferation of data that connects a user’s online social network with their offline activities. As a result, the data they create provides a solid link between users, what they are doing offline, and what they are contributing online. The question is how to harness this content.

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Notes

  1. 1.

    www.flickr.com, visited May 2012

  2. 2.

    http://www.flickr.com/services/api/, visited May 2012

  3. 3.

    http://www.multimediaeval.org/, visited March 2012

  4. 4.

    The SAPIR Project was funded by the European Commission under IST FP6, Contract no. 45128.

  5. 5.

    The CoPhIR data set was built by researchers at the institute of the National Research Council of Italy together with the High Performance Computing and Networked Multimedia Information Systems Laboratories at the Consiglio nazionale Delle Ricerche and the Instituto di Scienza e Tecnologie dell’informazione ‘A. Faedo’ and is available for download from http://cophir.isti.cnr.it/whatis.html

  6. 6.

    http://www.semanticmetadata.net/lire/

  7. 7.

    www.twitter.com, visited March 2012

  8. 8.

    http://www.facebook.com, visited May 2012

  9. 9.

    http://www.panoramio.com/, visited May 2012

  10. 10.

    http://developer.yahoo.com/geo/placemaker/, visited March 2012

  11. 11.

    http://developer.yahoo.com/geo/geoplanet/, visited March 2012

  12. 12.

    http://www.geonames.org/ visited March 2012

  13. 13.

    Visited February 2012

  14. 14.

    http://www.multimediaeval.org/mediaeval2011/placing2011/

  15. 15.

    www.gettyimages.com, Visited March 2012

  16. 16.

    www.flickr.com, Visited March 2012

  17. 17.

    www.navteq.com

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Author information

Authors and Affiliations

  1. Technische Universität, Berlin, Germany

    Pascal Kelm & Sebastian Schmiedeke

  2. Yahoo! Research, Barcelona, Spain

    Vanessa Murdock

  3. Cardiff University, Cardiff, Wales, UK

    Steven Schockaert

  4. Yandex, Moscow, Russia

    Pavel Serdyukov

  5. Universiteit Gent, Gent, Belgium

    Olivier van Laere

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  1. Pascal Kelm
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Correspondence to Pascal Kelm .

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  1. Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom

    Naeem Ramzan

  2. Director of Product Innovation, Search, Netflix, Winchester Circle 100, Los Gatos, 95032, California, USA

    Roelof van Zwol

  3. School of Integrated Technology, Yonsei University, 162-1 Songdo-dong, Yeonsu-gu, Incheon, 406-840, Korea, Republic of (South Korea)

    Jong-Seok Lee

  4. Institut für Telekommunikationssysteme, Technische Universität Berlin, Einsteinufer 17, Berlin, 10587, Germany

    Kai Clüver

  5. Media Computing Group, Microsoft Research, 555 108th Ave NE, Bellevue, 98004, Washington, USA

    Xian-Sheng Hua

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Kelm, P., Murdock, V., Schmiedeke, S., Schockaert, S., Serdyukov, P., van Laere, O. (2013). Georeferencing in Social Networks. In: Ramzan, N., van Zwol, R., Lee, JS., Clüver, K., Hua, XS. (eds) Social Media Retrieval. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4555-4_6

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