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Human Mobility Prediction Through Twitter
7 references·7 citing·50 second hop
Human Mobility Prediction Through Twitter (2018)Human Mobility Prediction Through TwitterWhat is this place? Inferring place categories through user patterns identification in geo-tagged tweets (2014)What is this place? Inferring…Next place prediction using mobility Markov chains (2012)Next place prediction using m…Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Mining User Mobility Features…Mining Travel Patterns from Geotagged Photos (2012)Mining Travel Patterns from G…Contextual conditional models for smartphone-based human mobility prediction (2012)Contextual conditional models…Mining correlation between locations using human location history (2009)Mining correlation between lo…Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Exploring Human Mobility Correlations Using Semisupervised Hypergraph Clustering (2025)Exploring Human Mobility Corr…Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway (2024)Georeferenced X (formerly twi…Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach (2022)Inferring Individual Human Mo…Human mobility forecasting with region-based flows and geotagged Twitter data (2022)Human mobility forecasting wi…Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain (2022)Can Twitter be a Reliable Pro…Significance of Linguistic Indicators for Location Prediction (2019)Significance of Linguistic In…Mining Pattern Similarity for Mobility Prediction in Location-based Social Networks (2018)Mining Pattern Similarity for…Understanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Predicting future locations with hidden Markov models (2012)Approaching the Limit of Predictability in Human Mobility (2013)Understanding Human Mobility from Twitter (2015)Power-Law Distributions in Empirical Data (2009)Friendship and mobility (2011)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)A Survey of Location Prediction on Twitter (2018)Power-law distributions in empirical data (2018)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Determining Sample Size for Research Activities (1970)Mapping the world's photos (2009)Travel route recommendation using geotags in photo sharing sites (2010)Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy (2016)Understanding individual human mobility patterns (2008)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)A probabilistic kernel method for human mobility prediction with smartphones (2014)Exploiting machine learning techniques for location recognition and prediction with smartphone logs (2015)Using GPS to learn significant locations and predict movement across multiple users (2003)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)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)Reality mining: sensing complex social systems (2005)The effect of recency to human mobility (2015)Mining human mobility patterns from social geo-tagged data (2016)Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play (2018)"I'm eating a sandwich in Glasgow" (2011)On the semantic annotation of places in location-based social networks (2011)Discovering places of interest in everyday life from smartphone data (2012)Discovering and Characterizing Mobility Patterns in Urban Spaces (2016)Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data (2017)Using Individual GPS Trajectories to Explore Foodscape Exposure: A Case Study in Beijing Metropolitan Area (2018)Forecasting With Bayesian Vector Autoregressions—Five Years of Experience (1986)Statistical analysis of cointegration vectors (1988)Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis (2023)Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction (2023)Inferring travel patterns and the attractiveness of touristic areas based on fusing Wi-Fi sensing data and GPS traces with a Kyoto case study (2024)Tobler's First Law and Spatial Analysis (2004)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)Predicting Where You Visit in a Surrounding City: A Mobility Knowledge Transfer Framework Based on Cross-City Travelers (2023)Advancing User Behavior Analysis: A Bilateral-Branch Network to Enhance Performance for Cold-Start Users in Individual Location Prediction (2025)Individual mobility prediction by considering current traveling features and historical activity chain (2025)Mining smart card data for transit riders’ travel patterns (2013)Passenger Segmentation Using Smart Card Data (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)
this work references cited by second hop

References

  • 2012Next place prediction using mobility Markov chains555 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited
  • 2012Mining User Mobility Features for Next Place Prediction in Location-Based Services336 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2012Contextual conditional models for smartphone-based human mobility prediction113 cited
  • 2009Mining correlation between locations using human location history89 cited
  • 2014What is this place? Inferring place categories through user patterns identification in geo-tagged tweets45 cited

Cited by

  • 2022Human mobility forecasting with region-based flows and geotagged Twitter data12 cited
  • 2022Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach9 cited
  • 2025Exploring Human Mobility Correlations Using Semisupervised Hypergraph Clustering7 cited
  • 2024Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway4 cited
  • 2022Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain4 cited
  • 2018Mining Pattern Similarity for Mobility Prediction in Location-based Social Networks4 cited
  • 2019Significance of Linguistic Indicators for Location Prediction

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3 cited