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Analysis of Usability of Various Geosocial Network POI in Tourism

  • Jiří KyselaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1051)

Abstract

The paper deals with an analysis of information usability of Points of Interest across different geosocial networks in tourism. The analysis contains a comparison of data retrieved from Facebook API, Foursquare API and Google Places API. The data was obtained for tourist areas from the smallest towns up to metropolitan cities. This article tries to verify the hypothesis whether or not geosocial networks provide relevant local information to participants in tourism, at least at the equivalent level currently available from traditional information resources used in tourism. In which case, geosocial networks have a potential to be used as a primary information resources in the commercial sector, specifically in local tourism.

Keywords

Geosocial networks LBS POI Tourism Facebook Google places Foursquare API 

Notes

Acknowledgements

This publication is the result of Metropolitan University Prague research project no. 68-03 ‘Public Administration, Law and Industrial Property’, which was conducted in 2019 under a grant from the Institutional Fund for the Long-term Strategic Development of Research Organisations.

References

  1. 1.
    Gill, S.P.: Cognition, communication and interaction: Transdisciplinary Perspectives on Interactive Technology. Springer, London (2008).  https://doi.org/10.1007/978-1-84628-927-9. ISBN 978-1-84628-926-2CrossRefGoogle Scholar
  2. 2.
    Buhalis, D., Weber, J., Xu, F.: Gamification in tourism. In: Xiang, Z., Tussyadiah, I. (eds.) Information and Communication Technologies in Tourism 2014, pp. 525–537. Springer, Cham (2013).  https://doi.org/10.1007/978-3-319-03973-2_38. ISBN 978-3-319-03972-5CrossRefGoogle Scholar
  3. 3.
    Cestovni-ruch.cz: Kategorizace a klasifikace hostinských zařízení (2009). http://cestovni-ruch.cz/kategorizace/klasrest.php
  4. 4.
    Kysela, J.: Aggregation of Local Information in Tourism Through Geosocial Networks. University of Hradec Králové (2016)Google Scholar
  5. 5.
    Czech Statistical Office: Population of Municipalities (2017). https://www.czso.cz/csu/czso/pocet-obyvatel-v-obcich-see2a5tx8j
  6. 6.
    Statistical Office of the Slovak Republic: Population and migration (2016). https://slovak.statistics.sk/wps/portal/ext/themes/demography/population/indicators/
  7. 7.
    Richtrová, K.: Náměstí jako základní prvek tradiční městské typologie. Czech Technical University in Prague (2014)Google Scholar
  8. 8.
    Mapy.cz: Historická mapa českých zemí z 19. století (2016). https://www.mapy.cz/19stoleti
  9. 9.
    Facebook: Facebook Graph Application Programming Interface. https://graph.facebook.com/
  10. 10.
    Foursquare: Foursquare Places Application Programming Interface. https://api.foursquare.com/v2/
  11. 11.
    Google: Google Places Application Programming Interface. https://maps.googleapis.com/maps/api/place/radarsearch/
  12. 12.
    Earth Point: Tools for Google Earth. http://www.earthpoint.us/Convert.aspx
  13. 13.
    Gentleman, R., Ihaka, R.: The R Project for Statistical Computing. https://www.r-project.org

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Metropolitan University PraguePraha 10Czech Republic

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