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Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data
16 references·5 citing·44 second hopsampled
Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data (2020)Analysis of the performance and robustnes…Uncovering inconspicuous places using social media check-ins and street view images (2020)Uncovering inconspicuous plac…Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data (2019)Spatial heterogeneity in spat…Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics (2018)Assessing the Quality of Home…Tourists' digital footprint in cities: Comparing Big Data sources (2017)Tourists' digital footprint i…Measuring economic activity in China with mobile big data (2017)Measuring economic activity i…Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Instagram, Flickr, or Twitter…Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy (2016)Mapping Cilento: Using geotag…Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? (2016)Activity patterns, socioecono…Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS (2015)Identification of tourist hot…Choosing the Right Home Location Definition Method for the Given Dataset (2015)Choosing the Right Home Locat…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)Exploring the travel behavior…Discovering Spatial Interaction Communities from Mobile Phone D ata (2013)Discovering Spatial Interacti…A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior (2013)A comparison of Foursquare an…Mining Travel Patterns from Geotagged Photos (2012)Mining Travel Patterns from G…Friendship and mobility (2011)Friendship and mobilityDynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies (2023)Dynamic Characteristics and E…Calendar events' influence on the relationship between metro ridership and the built environment: A heterogeneous effect analysis in Shenzhen, China (2023)Calendar events' influence on…The promise of excess mobility analysis: measuring episodic-mobility with geotagged social media data (2022)The promise of excess mobilit…Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK (2022)Human mobility variations in …Detecting home countries of social media users with machine-learned ranking approach: A case study in Hong Kong (2021)Detecting home countries of s…Local Indicators of Spatial Association—LISA (1995)Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research (2008)Role of social media in online travel information search (2009)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Big data and analytics in hospitality and tourism: a systematic literature review (2021)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Rethinking big data: A review on the data quality and usage issues (2015)The role of the transport system in destination development (2000)Modeling Tourist Movements (2006)Travel route recommendation using geotags in photo sharing sites (2010)Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning (2017)A machine learning approach to cluster destination image on Instagram (2021)The Age of Migration (1998)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Determining Sample Size for Research Activities (1970)Mapping the world's photos (2009)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)American Apartheid: Segregation and the Making of the Underclass. (1993)The New Mobilities Paradigm (2006)How does intergroup contact reduce prejudice? Meta‐analytic tests of three mediators (2008)Social media analytics for natural disaster management (2017)Going digital? The impact of social media marketing on retail website traffic, orders and sales (2021)Staying at Home Is a Privilege: Evidence from Fine-Grained Mobile Phone Location Data in the United States during the COVID-19 Pandemic (2021)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Quantifying nature-based tourism in protected areas in developing countries by using social big data (2018)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Using social media to quantify nature-based tourism and recreation (2013)Big Data, new epistemologies and paradigm shifts (2014)Using social media to assess nature-based tourism: Current research and future trends (2020)From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets (2021)A Big Data Analytics Method for Tourist Behaviour Analysis (2016)Big data in tourism research: A literature review (2018)
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References

  • 2011Friendship and mobility2,912 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2014Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos371 cited
  • 2015Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS363 cited
  • 2017Tourists' digital footprint in cities: Comparing Big Data sources257 cited
  • 2013Discovering Spatial Interaction Communities from Mobile Phone D ata249 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2016Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy216 cited
  • 2016Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?181 cited
  • 2020Uncovering inconspicuous places using social media check-ins and street view images149 cited
  • 2018Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics85 cited
  • 2013A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior83 cited
  • 2015Choosing the Right Home Location Definition Method for the Given Dataset

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70 cited
  • 2019Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data64 cited
  • 2017Measuring economic activity in China with mobile big data63 cited
  • Cited by

    • 2023Calendar events' influence on the relationship between metro ridership and the built environment: A heterogeneous effect analysis in Shenzhen, China18 cited
    • 2023Dynamic Characteristics and Evolution Analysis of Information Dissemination Theme of Social Networks under Emergencies13 cited
    • 2022Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK12 cited
    • 2022The promise of excess mobility analysis: measuring episodic-mobility with geotagged social media data6 cited
    • 2021Detecting home countries of social media users with machine-learned ranking approach: A case study in Hong Kong5 cited