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Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data
16 references·5 citing·44 second hop
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2016Annals of the American association of geographers762 cited
  • 2010Characterizing Microblogs with Topic Models712 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2003Sports Tourism: Participants, Policy and Providers380 cited
  • 2013Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb373 cited
  • 2003Small-scale event sport tourism: fans as tourists313 cited
  • 2010Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection301 cited
  • 2018Social-media data for urban sustainability291 cited
  • 2014Urban activity pattern classification using topic models from online geo-location data289 cited
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  • 2016Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago225 cited
  • 2011The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities

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221 cited
  • 2007The Travelling Fan: Understanding the Mechanisms of Sport Fan Consumption in a Sport Tourism Setting149 cited
  • Cited by

    • 2022An evaluation of geo-located Twitter data for measuring human migration12 cited
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    • 2022The Effect of Twitter App Policy Changes on the Sharing of Spatial Information through Twitter Users10 cited
    • 2021Changing Pattern of Human Movements in Istanbul During Covid-194 cited
    • 2024Private, Public, Personal: Shifting Patterns in Geospatial Data Sources in Geographic Research3 cited