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Who, Where, When, and What

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References

2008Understanding individual human mobility patterns6,071 cited
2010Limits of Predictability in Human Mobility3,230 cited
2011Friendship and mobility2,912 cited
2006The scaling laws of human travel2,207 cited
2010Modelling the scaling properties of human mobility1,286 cited
2021Exploring Millions of Footprints in Location Sharing Services685 cited
2012Discovering geographical topics in the twitter stream378 cited
2011"I'm eating a sandwich in Glasgow"234 cited
2013Who, where, when and what217 cited
2013Spatial topic modeling in online social media for location recommendation198 cited
2013Hierarchical geographical modeling of user locations from social media posts108 cited
2011The where in the tweet92 cited

Cited by

2020Evolution and impact of bias in human and machine learning algorithm interaction116 cited
2015Spatiotemporal Sequential Influence Modeling for Location Recommendations82 cited
2017PRED76 cited
2023Practical Synthetic Human Trajectories Generation Based on Variational Point Processes

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57 cited

2020Survey on user location prediction based on geo-social networking data50 cited

2017Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study47 cited

2016A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs41 cited

2022Location Recommendation Based on Mobility Graph With Individual and Group Influences33 cited

2021Attentional Markov Model for Human Mobility Prediction31 cited

2016Improving geolocation of social media posts31 cited

2020Predictability and Prediction of Human Mobility Based on Application-Collected Location Data30 cited

2016CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data29 cited

2016Evidential estimation of event locations in microblogs using the Dempster–Shafer theory29 cited

2017Multi-perspective Hierarchical Dirichlet Process for Geographical Topic Modeling9 cited

2019Los datos geolocalizados de las redes sociales en el estudio de cuestiones urbanas complejas: cinco temas, cinco redes9 cited

2016User interest acquisition by adding home and work related contexts on mobile big data analysis8 cited