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CO 2 (2018)CO 2A Data-Driven and Optimal Bus Scheduling Model With Time-Dependent Traffic and Demand (2017)A Data-Driven and Optimal Bus…Who, Where, When, and What (2015)Who, Where, When, and WhatSemantic Annotation of Mobility Data using Social Media (2015)Semantic Annotation of Mobili…Regularity and Conformity (2015)Regularity and ConformityWho, where, when and what (2013)Who, where, when and whatSpatial topic modeling in online social media for location recommendation (2013)Spatial topic modeling in onl…Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach (2013)Reconstructing Individual Mob…Exploring human movements in Singapore (2013)Exploring human movements in …Predicting future locations with hidden Markov models (2012)Predicting future locations w…Discovering geographical topics in the twitter stream (2012)Discovering geographical topi…Mining mobility data to minimise travellers' spending on public transport (2011)Mining mobility data to minim…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Friendship and mobility (2011)Friendship and mobilityComparing Twitter and Traditional Media Using Topic Models (2011)Comparing Twitter and Traditi…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Learning Location Correlation from GPS Trajectories (2010)Learning Location Correlation…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)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)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Social Influence: Compliance and Conformity (2004)PRED (2017)The Geography of Pokémon GO (2017)Context-aware Deep Model for Joint Mobility and Time Prediction (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban magnetism through the lens of geo-tagged photography (2015)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Urban sensing based on mobile phone data: approaches, applications, and challenges (2020)You are where you tweet (2010)Spatiotemporal Sequential Influence Modeling for Location Recommendations (2015)Exploring Millions of Footprints in Location Sharing Services (2021)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)The scaling laws of human travel (2006)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Human mobility: Models and applications (2018)Empirical study of topic modeling in Twitter (2010)Predicting the Future with Social Media (2010)Unpacking the Use of Social Media for Protest Behavior (2013)Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology (2018)The spread of true and false news online (2018)A Survey of Location Prediction on Twitter (2018)Social-media data for urban sustainability (2018)Characterizing Geographic Variation in Well-Being Using Tweets (2021)An Advanced Systematic Literature Review on Spatiotemporal Analyses of T witter Data (2015)Population Bias in Geotagged Tweets (2021)
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References

  • 2011Friendship and mobility2,912 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2011Comparing Twitter and Traditional Media Using Topic Models1,214 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2012Discovering geographical topics in the twitter stream378 cited
  • 2013Who, where, when and what217 cited
  • 2013Spatial topic modeling in online social media for location recommendation198 cited
  • 2015Regularity and Conformity139 cited
  • 2013Exploring human movements in Singapore113 cited
  • 2017A Data-Driven and Optimal Bus Scheduling Model With Time-Dependent Traffic and Demand97 cited
  • 2015Who, Where, When, and What82 cited
  • 2010Learning Location Correlation from GPS Trajectories76 cited
  • 2015Semantic Annotation of Mobility Data using Social Media67 cited
  • 2011Mining mobility data to minimise travellers' spending on public transport63 cited
  • 2013Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach

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