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Predicting Human Mobility via Attentive Convolutional Network
9 references·3 citing·32 second hop
Predicting Human Mobility via Attentive Convolutional Network (2020)Predicting Human Mobility via Attentive C…DeepMove (2018)DeepMoveA Survey of Location Prediction on Twitter (2018)A Survey of Location Predicti…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…GMove (2016)GMoveModeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Modeling User Activity Prefer…What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)What's Your Next Move: User A…Mining GPS data for mobility patterns: A survey (2013)Mining GPS data for mobility …Predicting future locations with hidden Markov models (2012)Predicting future locations w…Friendship and mobility (2011)Friendship and mobilityInferring Real Mobility in Presence of Fake Check-ins Data (2023)Inferring Real Mobility in Pr…Translating Human Mobility Forecasting through Natural Language Generation (2022)Translating Human Mobility Fo…RLMob (2022)RLMobUnderstanding individual human mobility patterns (2008)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)Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)A Mobility Analytical Framework for Big Mobile Data in Densely Populated Area (2016)Mining smartphone data for app usage prediction and recommendations: A survey (2017)Big data and understanding change in the context of planning transport systems (2018)Discovering regions of different functions in a city using human mobility and POIs (2012)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Exploring Millions of Footprints in Location Sharing Services (2021)A survey on deep learning for human mobility (2023)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Predestination: Inferring Destinations from Partial Trajectories (2006)Find me if you can (2010)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)A Generative Model of Urban Activities from Cellular Data (2017)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Spatial statistics (1981)Twitter as a tool for the management and analysis of emergency situations: A systematic literature review (2018)Data-Driven Computational Social Science: A Survey (2020)Future directions in human mobility science (2023)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Sustainable Mobility in the Century of Metropolises: Case Study of Greater London (2024)Regions, Periods, Activities (2017)Trajectory-User Linking via Variational AutoEncoder (2018)Learning to Simulate Human Mobility (2020)Predicting Human Mobility via Variational Attention (2019)
this work references cited by second hop

References

  • 2011Friendship and mobility2,912 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs857 cited
  • 2018DeepMove714 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2018A Survey of Location Prediction on Twitter248 cited
  • 2013What's Your Next Move: User Activity Prediction in Location-based Social Networks222 cited
  • 2013Mining GPS data for mobility patterns: A survey159 cited
  • 2016GMove158 cited

Cited by

  • 2022Translating Human Mobility Forecasting through Natural Language Generation20 cited
  • 2022RLMob7 cited
  • 2023Inferring Real Mobility in Presence of Fake Check-ins Data3 cited

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