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Recommending attractive thematic regions by semantic community detection with multi-sourced VGI data
16 references·3 citing·50 second hop
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References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2021Understanding the Demographics of Twitter Users760 cited
  • 2011Harvesting ambient geospatial information from social media feeds566 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2012Automatic Crime Prediction Using Events Extracted from Twitter Posts344 cited
  • 2010Travel route recommendation using geotags in photo sharing sites319 cited
  • 2016The geography of Twitter topics in London211 cited
  • 2013What are we ‘tweeting’ about obesity? Mapping tweets with topic modeling and Geographic Information System203 cited
  • 2015Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks137 cited
  • 2015Geo-temporal Twitter demographics112 cited
  • 2017A data-synthesis-driven method for detecting and extracting vague cognitive regions102 cited
  • 2015Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data97 cited
  • 2012Exploring trajectory-driven local geographic topics in foursquare81 cited
  • 2013Exploration of geo-tagged photos through data mining approaches78 cited
  • 2016

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Mining online footprints to predict user’s next location
43 cited
  • 2013Mapping ideas from cyberspace to realspace: visualizing the spatial context of keywords from web page search results22 cited
  • Cited by

    • 2020RegNet: a neural network model for predicting regional desirability with VGI data20 cited
    • 2023Calendar events' influence on the relationship between metro ridership and the built environment: A heterogeneous effect analysis in Shenzhen, China18 cited
    • 2023Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content12 cited