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Human mobility synthesis using matrix and tensor factorizations
11 references·7 citing·43 second hop
Human mobility synthesis using matrix and tensor factorizations (2014)Human mobility synthesis using matrix and…Far Out: Predicting Long-Term Human Mobility (2021)Far Out: Predicting Long-Term…Where to go from here? Mobility prediction from instantaneous information (2013)Where to go from here? Mobili…Interdependence and predictability of human mobility and social interactions (2013)Interdependence and predictab…Predictability of individuals' mobility with high-resolution positioning data (2012)Predictability of individuals…Friendship and mobility (2011)Friendship and mobilityDiscovering daily routines from Google Latitude with topic models (2011)Discovering daily routines fr…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Inferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…What did you do today? (2008)What did you do today?Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition (2022)Uncovering the spatiotemporal…A method for extracting travel patterns using data polishing (2021)A method for extracting trave…Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach (2020)Detection of base travel grou…Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data (2019)Detecting and understanding u…Feature Extraction of Inter-Region Travel Pattern Using Random Matrix Theory and Mobile Phone Location Data (2018)Feature Extraction of Inter-R…Using check-in features to partition locations for individual users in location based social network (2017)Using check-in features to pa…A semi-supervised social relationships inferred model based on mobile phone data (2016)A semi-supervised social rela…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Mobile Big Data: The Fuel for Data-Driven Wireless (2017)Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population (2019)A multi-dimension framework for value creation through Big Data (2020)Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)The scaling laws of human travel (2006)Computational Social Science (2009)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)Urban Computing Leveraging Location-Based Social Network Data (2019)Urban Human Mobility (2019)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)Summary of Travel Trends 2001 National Household Travel Survey (2005)Learning and inferring transportation routines (2007)Mining Individual Life Pattern Based on Location History (2009)Travel route recommendation using geotags in photo sharing sites (2010)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)Understanding mobility based on GPS data (2008)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)MyLifeBits (2006)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Modelling heterogeneous location habits in human populations for location prediction under data sparsity (2013)Demographic research with non-representative internet data (2015)RCMC (2017)Psychological status of the script concept. (1981)Dynamics of Dyads in Social Networks: Assortative, Relational, and Proximity Mechanisms (2010)Human mobility: Models and applications (2018)By their apps you shall understand them (2010)Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data (2010)Mining smartphone data for app usage prediction and recommendations: A survey (2017)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)A survey of results on mobile phone datasets analysis (2015)
this work references cited by second hop

References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Friendship and mobility2,912 cited
  • 2009Inferring friendship network structure by using mobile phone data1,858 cited
  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited
  • 2013Interdependence and predictability of human mobility and social interactions150 cited
  • 2008What did you do today?120 cited
  • 2021Far Out: Predicting Long-Term Human Mobility99 cited
  • 2012Predictability of individuals' mobility with high-resolution positioning data90 cited
  • 2011Discovering daily routines from Google Latitude with topic models49 cited
  • 2013Where to go from here? Mobility prediction from instantaneous information48 cited

Cited by

  • 2019Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data22 cited
  • 2022Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition14 cited
  • 2020Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach13 cited

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2017
Using check-in features to partition locations for individual users in location based social network
10 cited
  • 2018Feature Extraction of Inter-Region Travel Pattern Using Random Matrix Theory and Mobile Phone Location Data8 cited
  • 2016A semi-supervised social relationships inferred model based on mobile phone data6 cited
  • 2021A method for extracting travel patterns using data polishing5 cited