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Characterization of human mobility based on Information Theory quantifiers
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Characterization of human mobility based on Information Theory quantifiers (2022)Characterization of human mobility based …The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility (2021)The Impact of Stationarity, R…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…Ensemble mobility predictor based on random forest and Markovian property using LBSN data (2020)Ensemble mobility predictor b…Urban Computing Leveraging Location-Based Social Network Data (2019)Urban Computing Leveraging Lo…TEMMUS: A Mobility Predictor based on Temporal Markov Model with User Similarity (2019)TEMMUS: A Mobility Predictor …An improved method for mobility prediction using a Markov model and density estimation (2018)An improved method for mobili…Characterizing time series via complexity-entropy curves (2017)Characterizing time series vi…Data Analysis on Location-Based Social Networks (2013)Data Analysis on Location-Bas…Understanding mobility based on GPS data (2008)Understanding mobility based …Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Causality and the entropy–complexity plane: Robustness and missing ordinal patterns (2011)Complexity-Entropy Causality Plane as a Complexity Measure for Two-Dimensional Patterns (2012)Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series (2019)Patterns, Entropy, and Predictability of Human Mobility and Life (2012)Approaching the Limit of Predictability in Human Mobility (2013)Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction (2019)Cultures and Organizations: Software of the Mind. (1993)Birds of a Feather: Homophily in Social Networks (2001)Understanding individual human mobility patterns (2008)Uncovering spatiotemporal and semantic aspects of tourists mobility using social sensing (2020)Understanding vehicular routing behavior with location-based service data (2021)PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User’s Profiles (2022)Modeling temporal effects of human mobile behavior on location-based social networks (2013)Large-scale study of city dynamics and urban social behavior using participatory sensing (2014)Universal model of individual and population mobility on diverse spatial scales (2017)Conditional logit analysis of qualitative choice behavior (1972)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Mixed MNL models for discrete response (2000)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)Regularity and Conformity (2015)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)A Context- and Trajectory-Based Destination Prediction of Public Transportation Users (2022)The Proof and Measurement of Association Between Two Things. (1961)The proof and measurement of association between two things (2010)Proceedings of the 2013 IEEE International Conference on Big Data (2013)Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach (2022)An Information Theory Based Method for Quantifying the Predictability of Human Mobility (2023)The Death of Distance: How the Communications Revolution Will Change Our Lives (1997)Inferring friendship network structure by using mobile phone data (2009)Friendship and mobility (2011)Addressing the cold-start problem in location recommendation using geo-social correlations (2014)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)Deep learning for misinformation detection on online social networks: a survey and new perspectives (2020)
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References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2019Urban Computing Leveraging Location-Based Social Network Data118 cited
  • 2013Data Analysis on Location-Based Social Networks95 cited
  • 2017Characterizing time series via complexity-entropy curves87 cited
  • 2021The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility17 cited
  • 2018An improved method for mobility prediction using a Markov model and density estimation11 cited
  • 2020Ensemble mobility predictor based on random forest and Markovian property using LBSN data9 cited
  • 2019TEMMUS: A Mobility Predictor based on Temporal Markov Model with User Similarity6 cited

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