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A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation
16 references·9 citing·46 second hop
A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation (2019)A global analysis of cities’ geosocial te…The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks (2021)Exploiting Semantic Annotatio…Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data (2015)Twitter as an indicator for w…Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Mining point-of-interest data…Automated identification and characterization of parcels with OpenStreetMap and points of interest (2015)Automated identification and …An Advanced Systematic Literature Review on Spatiotemporal Analyses of T witter Data (2015)An Advanced Systematic Litera…Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Intra-Urban Human Mobility an…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …The Origins of Scaling in Cities (2013)The Origins of Scaling in Cit…Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries (2013)Delineating Geographical Regi…Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Correction: A Tale of Many Ci…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Does Urban Mobility Have a Da…Understanding individual human mobility patterns (2008)Understanding individual huma…The spatiotemporal scaling laws of urban population dynamics (2025)The spatiotemporal scaling la…Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach (2023)Temporal visitation patterns …Conflating point of interest (POI) data: A systematic review of matching methods (2023)Conflating point of interest …Shifting temporal dynamics of human mobility in the United States (2022)Shifting temporal dynamics of…Inter‐city association pattern recognition by constructing cultural semantic similarity network (2022)Inter‐city association patter…The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level (2021)The role of alcohol outlet vi…Measuring urban regional similarity through mobility signatures (2021)Measuring urban regional simi…Spatiotemporal dynamics and the contributing factors of residential vacancy at a fine scale: A perspective from municipal water consumption (2020)Spatiotemporal dynamics and t…SONET (2019)SONETCitizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)How Good is Volunteered Geographical Information? 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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2013The Origins of Scaling in Cities1,496 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 cited
  • 2015Automated identification and characterization of parcels with OpenStreetMap and points of interest300 cited
  • 2010Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks266 cited
  • 2014Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data216 cited
  • 2021Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks177 cited
  • 2015An Advanced Systematic Literature Review on Spatiotemporal Analyses of T witter Data165 cited
  • 2015Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data

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159 cited
  • 2013Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries151 cited
  • 2012Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility111 cited
  • Cited by

    • 2023Conflating point of interest (POI) data: A systematic review of matching methods45 cited
    • 2025The spatiotemporal scaling laws of urban population dynamics29 cited
    • 2021Measuring urban regional similarity through mobility signatures29 cited
    • 2021The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level28 cited
    • 2020Spatiotemporal dynamics and the contributing factors of residential vacancy at a fine scale: A perspective from municipal water consumption24 cited
    • 2019SONET15 cited
    • 2023Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach15 cited
    • 2022Inter‐city association pattern recognition by constructing cultural semantic similarity network11 cited
    • 2022Shifting temporal dynamics of human mobility in the United States11 cited