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Analyzing Location Predictability on Location-Based Social Networks
8 references·13 citing·37 second hop
Analyzing Location Predictability on Location-Based Social Networks (2014)Analyzing Location Predictability on Loca…Location3: How Users Share and Respond to Location-Based Data on Social (2021)Location3: How Users Share an…Exploring Social-Historical Ties on Location-Based Social Networks (2021)Exploring Social-Historical T…Diversity of individual mobility patterns and emergence of aggregated scaling laws (2013)Diversity of individual mobil…Predictability of individuals' mobility with high-resolution positioning data (2012)Predictability of individuals…Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Mining User Mobility Features…Friendship and mobility (2011)Friendship and mobilityLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Estimating human predictability from mobile sensor data (2010)Estimating human predictabili…AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation (2024)AGENDA: Predicting Trip Purpo…Wheels Know Why You Travel (2022)Wheels Know Why You TravelFusing high-resolution multispectral image with trajectory for user next travel location prediction (2022)Fusing high-resolution multis…Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework (2022)Enriching Large-Scale Trips W…Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling (2021)Predicting Human Mobility wit…Predicting Human Mobility with Self-attention and Feature Interaction (2020)Predicting Human Mobility wit…Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks (2019)Venue2Vec: An Efficient Embed…Effective fine-grained location prediction based on user check-in pattern in LBSNs (2018)Effective fine-grained locati…Efficient Fine-Grained Location Prediction Based on User Mobility Pattern in LBSNs (2017)Efficient Fine-Grained Locati…Temporal Predictability of Online Behavior in Foursquare (2016)Temporal Predictability of On…Providing recommendations on location-based social networks (2016)Providing recommendations on …Geo-social media data analytic for user modeling and location-based services (2016)Geo-social media data analyti…User location prediction with energy efficiency model in the Long Term‐Evolution network (2015)User location prediction with…Inferring social ties from geographic coincidences (2010)Hoodsquare: Modeling and Recommending Neighborhoods in Location-based Social Networks (2013)Addressing the cold-start problem in location recommendation using geo-social correlations (2014)Location Contexts of User Check-Ins to Model Urban Geo Life-Style Patterns (2015)Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)Power-Law Distributions in Empirical Data (2009)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)A Survey of Location Prediction on Twitter (2018)Power-law distributions in empirical data (2018)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Birds of a Feather: Homophily in Social Networks (2001)DeepMove (2018)The Death of Distance: How the Communications Revolution Will Change Our Lives (1997)Understanding mobility based on GPS data (2008)Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges (2016)Exploring temporal effects for location recommendation on location-based social networks (2013)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)gtfs2vec (2021)Imputation of missing time-activity data with long-term gaps: A multi-scale residual CNN-LSTM network model (2022)Crowds, bluetooth, and rock'n'roll (2013)An alternative approach to the limits of predictability in human mobility (2017)Survey of Automated Fare Collection Solutions in Public Transportation (2022)Explaining the power-law distribution of human mobility through transportationmodality decomposition (2015)Urban human mobility data mining: An overview (2016)Bursty Human Dynamics (2017)A probabilistic kernel method for human mobility prediction with smartphones (2014)A refined limit on the predictability of human mobility (2014)On the properties of human mobility (2016)Revealing the User Behavior Pattern Using HNCORS RTK Location Big Data (2019)Hierarchical temporal–spatial preference modeling for user consumption location prediction in Geo-Social Networks (2021)Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach (2022)
this work references cited by second hop

References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Friendship and mobility2,912 cited
  • 2012Mining User Mobility Features for Next Place Prediction in Location-Based Services336 cited
  • 2021Exploring Social-Historical Ties on Location-Based Social Networks246 cited
  • 2013Diversity of individual mobility patterns and emergence of aggregated scaling laws159 cited
  • 2012Predictability of individuals' mobility with high-resolution positioning data90 cited
  • 2021Location3: How Users Share and Respond to Location-Based Data on Social68 cited
  • 2010Estimating human predictability from mobile sensor data47 cited

Cited by

  • 2019Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks27 cited
  • 2018Effective fine-grained location prediction based on user check-in pattern in LBSNs20 cited
  • 2015User location prediction with energy efficiency model in the Long Term‐Evolution network18 cited
  • 2022Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework17 cited
  • 2016Geo-social media data analytic for user modeling and location-based services17 cited
  • 2022Wheels Know Why You Travel17 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017Efficient Fine-Grained Location Prediction Based on User Mobility Pattern in LBSNs15 cited
  • 2016Providing recommendations on location-based social networks15 cited
  • 2016Temporal Predictability of Online Behavior in Foursquare13 cited
  • 2022Fusing high-resolution multispectral image with trajectory for user next travel location prediction12 cited
  • 2021Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling8 cited
  • 2020Predicting Human Mobility with Self-attention and Feature Interaction6 cited
  • 2024AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation3 cited