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Who are my Visitors and Where do They Come From? An Analysis Based on Foursquare Check-ins and Place-based Semantics.
6 references·0 citing·29 second hop
Who are my Visitors and Where do They Come From? An Analysis Based on Foursquare Check-ins and Place-based Semantics. (2015)Who are my Visitors and Where do They Com…An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…You are What you Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food & Drink Habits in Foursquare (2014)You are What you Eat (and Dri…We know where you live (2012)We know where you livePrivacy-aware geolocation interfaces for volunteered geography (2012)Privacy-aware geolocation int…On the semantic annotation of places in location-based social networks (2011)On the semantic annotation of…Exploratory data analysis of activity diary data: a space–time GIS approach (2011)Exploratory data analysis of …Citizens as sensors: the world of volunteered geography (2007)Volunteered geographic information: future research directions motivated by critical, participatory, and feminist GIS (2008)Privacy in Context (2009)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Location-Based Social Networks: Users (2011)Inferring anchor links across multiple heterogeneous social networks (2013)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Information revelation and privacy in online social networks (2005)You are where you tweet (2010)Friendship and mobility (2011)What drives you to check in on Facebook? Motivations, privacy concerns, and mobile phone involvement for location-based information sharing (2015)What demographic attributes do our digital footprints reveal? A systematic review (2018)Automating fake news detection system using multi-level voting model (2019)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Features of similarity. (1977)Understanding individual human mobility patterns (2008)Geographical and Temporal Weighted Regression (GTWR) (2015)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data (2019)Reality mining: sensing complex social systems (2005)Inferring friendship network structure by using mobile phone data (2009)Exploring temporal effects for location recommendation on location-based social networks (2013)Measuring spatial accessibility to healthcare for populations with multiple transportation modes (2013)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas (2016)Tracking urban activity growth globally with big location data (2016)A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation (2019)
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References

  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2011On the semantic annotation of places in location-based social networks231 cited
  • 2011Exploratory data analysis of activity diary data: a space–time GIS approach190 cited
  • 2012We know where you live90 cited
  • 2014You are What you Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food & Drink Habits in Foursquare45 cited
  • 2012Privacy-aware geolocation interfaces for volunteered geography4 cited

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