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You Are What You Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food and Drink Habits in Foursquare
10 references·13 citing·45 second hop
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References

  • 2001Birds of a Feather: Homophily in Social Networks18,551 cited
  • 2011Friendship and mobility2,912 cited
  • 1972Ethnic Groups and Boundaries: The Social Organization of Culture Difference1,651 cited
  • 1952Social Pressures in Informal Groups, a Study of Human Factors in Housing1,103 cited
  • 2010Changing Mass Priorities: The Link between Modernization and Democracy909 cited
  • 2006Globalization, Uncertainty and Youth in Society719 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2021Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks177 cited
  • 2011Do all birds tweet the same?121 cited

Cited by

  • 2019Development of a Holistic Assessment Framework for Industrial Organizations62 cited
  • 2019Why the World Reads Wikipedia49 cited
  • 2016Tracking urban activity growth globally with big location data33 cited
  • 2015Mining cross-cultural relations from Wikipedia31 cited
  • 2016Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas

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29 cited
  • 2018Investigation of Social Behaviour Patterns using Location-Based Data – A Melbourne Case Study20 cited
  • 2017A large-scale study of cultural differences using urban data about eating and drinking preferences19 cited
  • 2021Pub Crawling at Scale: Tapping Untappd to Explore Social Drinking13 cited
  • 2018Why the World Reads Wikipedia: Beyond English Speakers13 cited
  • 2020Modeling Weather-Aware Prediction of User Activities and Future Visits12 cited
  • 2015Urban Mobility Sensing Analysis through a Layered Sensing Approach10 cited
  • 2018Uncovering the Perception of Urban Outdoor Areas Expressed in Social Media8 cited
  • 2014Revelations from Social Multimedia Data1 cited