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A survey of location-based social networks: problems, methods, and future research directions
16 references·2 citing·45 second hop
A survey of location-based social networks: problems, methods, and future research directions (2021)A survey of location-based social network…The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Urban Computing Leveraging Location-Based Social Network Data (2019)Urban Computing Leveraging Lo…Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Revisiting User Mobility and …A text mining and topic modelling perspective of ethnic marketing research (2019)A text mining and topic model…Understanding the use of Virtual Reality in Marketing: A text mining-based review (2018)Understanding the use of Virt…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…GMove (2016)GMoveDiscovering interpretable geo-social communities for user behavior prediction (2016)Discovering interpretable geo…Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks (2015)Exploration of spatiotemporal…Spectral clustering for sensing urban land use using Twitter activity (2014)Spectral clustering for sensi…Large-scale study of city dynamics and urban social behavior using participatory sensing (2014)Large-scale study of city dyn…Inferring social ties between users with human location history (2012)Inferring social ties between…gSCorr (2012)gSCorrFriendship and mobility (2011)Friendship and mobilityMeasuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection (2010)Measuring geographical regula…Bridging the gap between physical location and online social networks (2010)Bridging the gap between phys…Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach (2023)Temporal visitation patterns …Social Media and Influencer Marketing for Promoting Sustainable Tourism Destinations: The Instagram Case (2023)Social Media and Influencer M…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)Computational socioeconomics (2019)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)DeepMove (2018)Power-law distributions in empirical data (2018)The Strength of Weak Ties (1973)The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites (2007)Understanding individual human mobility patterns (2008)Location-Based Social Networks: Users (2011)Accidental, open and everywhere: Emerging data sources for the understanding of cities (2013)Measuring Large-Scale Social Networks with High Resolution (2014)The Death of Distance: How the Communications Revolution Will Change Our Lives (1997)Crowdsourcing geographic information for disaster response: a research frontier (2010)Data Analysis on Location-Based Social Networks (2013)Modeling temporal effects of human mobile behavior on location-based social networks (2013)Regularity and Conformity (2015)Bowling alone: the collapse and revival of American community (2000)Bowling Alone: The Collapse and Revival of American Community (2001)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Exploring Millions of Footprints in Location Sharing Services (2021)Limits of Predictability in Human Mobility (2010)Regions, Periods, Activities (2017)Trajectory-User Linking via Variational AutoEncoder (2018)Learning to Simulate Human Mobility (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)A fad or the future? 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References

  • 2011Friendship and mobility2,912 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2010Bridging the gap between physical location and online social networks441 cited
  • 2018Understanding the use of Virtual Reality in Marketing: A text mining-based review320 cited
  • 2019Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach313 cited
  • 2010Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection301 cited
  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2012gSCorr200 cited
  • 2016GMove158 cited
  • 2012Inferring social ties between users with human location history148 cited
  • 2015Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks137 cited
  • 2016Discovering interpretable geo-social communities for user behavior prediction123 cited
  • 2019Urban Computing Leveraging Location-Based Social Network Data118 cited
  • 2014Large-scale study of city dynamics and urban social behavior using participatory sensing

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80 cited
  • 2019A text mining and topic modelling perspective of ethnic marketing research77 cited
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    • 2023Social Media and Influencer Marketing for Promoting Sustainable Tourism Destinations: The Instagram Case135 cited
    • 2023Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach15 cited