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Discovery of local topics by using latent spatio-temporal relationships in geo-social media
16 references·1 citing·47 second hop
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References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 2011Comparing Twitter and Traditional Media Using Topic Models1,214 cited
  • 1996Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology782 cited
  • 2014Predicting crime using Twitter and kernel density estimation581 cited
  • 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2012Discovering geographical topics in the twitter stream378 cited
  • 2013Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb373 cited
  • 2010Breaking News Detection and Tracking in Twitter275 cited
  • 2014Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’253 cited
  • 2013Who, where, when and what217 cited
  • 2013What are we ‘tweeting’ about obesity? Mapping tweets with topic modeling and Geographic Information System203 cited
  • 2012Utilization of Social Media in the East Japan Earthquake and Tsunami and its Effectiveness141 cited
  • 2015A scalable framework for spatiotemporal analysis of location-based social media data

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121 cited
  • 2013Spatial patterns and demographic indicators of effective social media content during theHorsethief Canyon fire of 2012103 cited
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    • 2018Identifying stops from mobile phone location data by introducing uncertain segments17 cited