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Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks
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Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks (2013)Where is the Largest Market: Ranking Area…Where and what: Using smartphones to predict next locations and applications in daily life (2013)Where and what: Using smartph…Trade area analysis using user generated mobile location data (2013)Trade area analysis using use…Geo-spotting (2013)Geo-spottingFine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs (2013)Fine-grained preference-aware…Discovering and Profiling Overlapping Communities in Location-Based Social Networks (2013)Discovering and Profiling Ove…Predicting Mobile Phone User Locations by Exploiting Collective Behavioral Patterns (2012)Predicting Mobile Phone User …Predicting future locations with hidden Markov models (2012)Predicting future locations w…Find me if you can (2010)Find me if you canUnderstanding individual human mobility patterns (2008)Understanding individual huma…Business Site Selection, Location Analysis and GIS (2008)Business Site Selection, Loca…PACELA (2018)PACELAModeling location-based social network data with area attraction and neighborhood competition (2018)Modeling location-based socia…Limits of Predictability in Human Mobility (2010)Building the Multi-Modal Storytelling of Urban Emergency Events Based on Crowdsensing of Social Media Analytics (2016)Demand driven store site selection via multiple spatial-temporal data (2016)Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model (2016)Exploring Millions of Footprints in Location Sharing Services (2021)Understanding mobility based on GPS data (2008)Next place prediction using mobility Markov chains (2012)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Friendship and mobility (2011)Building a validation measure for activity-based transportation models based on mobile phone data (2014)Mining smartphone data for app usage prediction and recommendations: A survey (2017)LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists (2020)A deep dive into location-based communities in social discovery networks (2016)Smartphone App Usage Prediction Using Points of Interest (2018)Location-Based Social Network Data Generation Based on Patterns of Life (2020)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks (2021)Inferring friendship network structure by using mobile phone data (2009)MPaaS: Mobility prediction as a service in telecom cloud (2013)Multi-hop Mobility Prediction (2015)Spatial–temporal visualization of city-wide crowd movement (2016)The end of geography or the explosion of place? Conceptualizing space, place and information technology (1998)Mapping the world's photos (2009)You are where you tweet (2010)Human mobility: Models and applications (2018)Discovering regions of different functions in a city using human mobility and POIs (2012)Bike sharing station placement leveraging heterogeneous urban open data (2015)Point-of-Interest Demand Modeling with Human Mobility Patterns (2017)Urban Computing Leveraging Location-Based Social Network Data (2019)Sensing the Pulse of Urban Refueling Behavior (2015)Hierarchical Cooperative Discovery of Personal Places from Location Traces (2017)Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review (2023)Advances in location modeling: GIS linkages and contributions (2010)Spatial Optimization in Geography (2012)The retail site location decision process using GIS and the analytical hierarchy process (2013)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Find me if you can705 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2008Business Site Selection, Location Analysis and GIS276 cited
  • 2013Geo-spotting208 cited
  • 2013Where and what: Using smartphones to predict next locations and applications in daily life137 cited
  • 2013Discovering and Profiling Overlapping Communities in Location-Based Social Networks105 cited
  • 2013Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs100 cited
  • 2013Trade area analysis using user generated mobile location data72 cited
  • 2012Predicting Mobile Phone User Locations by Exploiting Collective Behavioral Patterns29 cited

Cited by

  • 2018Modeling location-based social network data with area attraction and neighborhood competition13 cited
  • 2018PACELA4 cited

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