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Track me! a web based location tracking and analysis system for smart phone users
6 references·0 citing·25 second hop
Track me! a web based location tracking and analysis system for smart phone users (2009)Track me! a web based location tracking a…Discovering spatiotemporal mobility profiles of cellphone users (2009)Discovering spatiotemporal mo…Automatic mapping and modeling of human networks (2006)Automatic mapping and modelin…Route prediction from cellular data (2005)Route prediction from cellula…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Clustering and Prediction of Mobile User Routes from Cellular Data (2005)Clustering and Prediction of …Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Inferring High-Level Behavior from Low-Level Sensors (2003)Extracting places from traces of locations (2004)Identifying meaningful locations (2006)A Markov chain dynamic model for trip generation and distribution based on CDR (2015)Mobile Phone Data Analysis: A Spatial Exploration Toward Hotspot Detection (2018)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)Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. (1992)Social net (2002)From context to content (2004)Affective Computing and Intelligent Interaction (2005)Social signal processing (2008)Understanding Work Teams From a Network Perspective: A Review and Future Research Directions (2020)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)Limits of Predictability in Human Mobility (2010)Understanding individual human mobility patterns (2008)Studying inter-national mobility through IP geolocation (2013)Context-aware real-time population estimation for metropolis (2016)Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data (2017)Adaptive On-Device Location Recognition (2004)Collecting and analyzing mobility data from mobile network (2009)Understanding Activity Location Choice with Mobile Phone Data (2014)Administrative Regions Discovery Based on Human Mobility Patterns and Spatio-Temporal Clustering (2016)
this work references cited by second hop

References

  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2006Automatic mapping and modeling of human networks107 cited
  • 2009Discovering spatiotemporal mobility profiles of cellphone users96 cited
  • 2005Clustering and Prediction of Mobile User Routes from Cellular Data88 cited
  • 2005Route prediction from cellular data23 cited

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