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Heri-Graphs: A Dataset Creation Framework for Multi-Modal Machine Learning on Graphs of Heritage Values and Attributes with Social Media
16 references·4 citing·44 second hop
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References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2004Does Active Learning Work? A Review of the Research7,318 cited
  • 2009Computational Social Science3,359 cited
  • 1996Stacked Regressions1,945 cited
  • 2011The Tourist Gaze 3.01,649 cited
  • 2009Mapping the world's photos782 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2014User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software426 cited
  • 2016A Big Data Analytics Method for Tourist Behaviour Analysis392 cited
  • 2015Tourism analytics with massive user-generated content: A case study of Barcelona356 cited
  • 2009Sustainability versus liveability: an investigation of neighbourhood satisfaction255 cited
  • 2010Flickr and the culture of connectivity: Sharing views, experiences, memories217 cited
  • 2018Mapping historic urban landscape values through social media144 cited
  • 2018Analyzing and visualizing the spatial interactions between tourists and locals: A Flickr study in ten US cities80 cited
  • 2013From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns

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70 cited
  • 2015Historic urban landscapes : framing the integration of urban and heritage planning in multilevel governance69 cited
  • Cited by

    • 2023Application interface design of Chongqing intangible cultural heritage based on deep learning19 cited
    • 2025Leveraging social media for resilient cultural heritage: a people-centred conceptual framework for community engagement and crisis response17 cited
    • 2023MAPPING URBAN HERITAGE IMAGES WITH SOCIAL MEDIA DATA AND ARTIFICIAL INTELLIGENCE, A CASE STUDY IN TESTACCIO, ROME11 cited
    • 2023Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification10 cited