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Exploring Periods of Low Predictability in Daily Life Mobility
11 references·3 citing·33 second hop
Exploring Periods of Low Predictability in Daily Life Mobility (2012)Exploring Periods of Low Predictability i…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Evaluating mobility models for temporal prediction with high-granularity mobility data (2012)Evaluating mobility models fo…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Computational Social Science (2009)Computational Social ScienceUnderstanding individual human mobility patterns (2008)Understanding individual huma…The scaling laws of human travel (2006)The scaling laws of human tra…Extracting places from traces of locations (2004)Extracting places from traces…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Stable Non-Gaussian Random ProcessesGennady Samorodnitsky and Murad S. Taqqu Chapman and Hall, 1994 (1997)Stable Non-Gaussian Random Pr…Analysis of a fast LZ-based entropy estimator for mobility data (2015)Analysis of a fast LZ-based e…Improving Location Prediction by Exploring Spatial‐Temporal‐Social Ties (2014)Improving Location Prediction…On the use of instantaneous entropy to measure the momentary predictability of human mobility (2013)On the use of instantaneous e…Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Predicting future locations with hidden Markov models (2012)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)Inferring High-Level Behavior from Low-Level Sensors (2003)Discovering personally meaningful places (2007)Learning and inferring transportation routines (2007)Data from mobile phone operators: A tool for smarter cities? (2014)Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students (2017)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Understanding mobility based on GPS data (2008)The Variation of Certain Speculative Prices (1963)The Behavior of Stock-Market Prices (1965)The variation of certain speculative prices (1997)Modelling by Lévy Processess for Financial Econometrics (2001)Multifractality Tests Using Bootstrapped Wavelet Leaders (2007)Analysis of the Rosenblatt process (2008)Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study (2008)A 61-million-person experiment in social influence and political mobilization (2012)Private traits and attributes are predictable from digital records of human behavior (2013)Structural Topic Models for Open‐Ended Survey Responses (2014)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)gSCorr (2012)Interdependence and predictability of human mobility and social interactions (2013)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2009Computational Social Science3,359 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 1997Stable Non-Gaussian Random ProcessesGennady Samorodnitsky and Murad S. Taqqu Chapman and Hall, 1994389 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2004Extracting places from traces of locations238 cited
  • 2012Evaluating mobility models for temporal prediction with high-granularity mobility data90 cited

Cited by

  • 2014Improving Location Prediction by Exploring Spatial‐Temporal‐Social Ties9 cited
  • 2013On the use of instantaneous entropy to measure the momentary predictability of human mobility9 cited
  • 2015Analysis of a fast LZ-based entropy estimator for mobility data6 cited

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