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Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play
16 references·16 citing·53 second hopsampled
Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play (2018)Using Location-Based Social Media Data to…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Check-in behaviour and spatio…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …A formal definition of Big Data based on its essential features (2016)A formal definition of Big Da…The role of social media in local government crisis communications (2015)The role of social media in l…Online Social Network Site Addiction: A Comprehensive Review (2015)Online Social Network Site Ad…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Data-driven geography (2014)Data-driven geographyGovernment innovation through social media (2013)Government innovation through…Using Social Media to Enhance Emergency Situation Awareness (2012)Using Social Media to Enhance…On the semantic annotation of places in location-based social networks (2011)On the semantic annotation of…Find me if you can (2010)Find me if you canEmergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake (2010)Emergency knowledge managemen…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites (2007)The Benefits of Facebook “Fri…Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics (2024)Advancing human mobility mode…Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter (2023)Geolocated Social Media Posts…Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data: A Case Study of Shenzhen (2023)Evaluating Urban Vitality of …Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review (2022)Social Media Data in Urban De…Multiperspective Evaluation Model for the Spatial Distribution of Public Service Facilities Based on Service Capability and Subjective Preferences (2022)Multiperspective Evaluation M…Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility (2022)Assessing Reliability of Chin…Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN (2020)Visualization, Spatiotemporal…Role of Big Data in the Development of Smart City by Analyzing the Density of Residents in Shanghai (2020)Role of Big Data in the Devel…RETRACTED: Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo (2020)RETRACTED: Spatiotemporal Ana…Location-Based Social Network’s Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China (2020)Location-Based Social Network…Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data (2020)Analyzing Social-Geographic H…A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data (2020)A Study of User Activity Patt…A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data (2020)A New Approach to Refining La…Revealing the User Behavior Pattern Using HNCORS RTK Location Big Data (2019)Revealing the User Behavior P…A Comparative Study of Spatial and Temporal Preferences for Waterfronts in Wuhan based on Gender Differences in Check-In Behavior (2019)A Comparative Study of Spatia…Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data (2018)Big Data Analysis to Observe …Structure in Fives: Designing Effective Organizations. 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References

  • 2007The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites9,932 cited
  • 2015Online Social Network Site Addiction: A Comprehensive Review1,105 cited
  • 2016A formal definition of Big Data based on its essential features931 cited
  • 2010Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake874 cited
  • 2010Find me if you can705 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2012Using Social Media to Enhance Emergency Situation Awareness649 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2013Government innovation through social media557 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2014Data-driven geography391 cited
  • 2018Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China341 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2015The role of social media in local government crisis communications297 cited
  • 2009Mining Individual Life Pattern Based on Location History

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281 cited
  • 2011On the semantic annotation of places in location-based social networks231 cited
  • Cited by

    • 2022Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review44 cited
    • 2020A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data39 cited
    • 2020Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data39 cited
    • 2020Role of Big Data in the Development of Smart City by Analyzing the Density of Residents in Shanghai29 cited
    • 2020Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN26 cited
    • 2023Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data: A Case Study of Shenzhen24 cited
    • 2022Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility21 cited
    • 2019A Comparative Study of Spatial and Temporal Preferences for Waterfronts in Wuhan based on Gender Differences in Check-In Behavior20 cited
    • 2020RETRACTED: Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network’s Data from Weibo19 cited
    • 2018Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data18 cited
    • 2022Multiperspective Evaluation Model for the Spatial Distribution of Public Service Facilities Based on Service Capability and Subjective Preferences15 cited
    • 2020A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data14 cited
    • 2020Location-Based Social Network’s Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China13 cited
    • 2019Revealing the User Behavior Pattern Using HNCORS RTK Location Big Data12 cited
    • 2023Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter11 cited
    • 2024Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics8 cited