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Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties
4 references·0 citing·18 second hopsampled
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties (2016)Learning from Your Network of Friends: A …Beyond "local", "categories" and "friends" (2012)Beyond "local", "categories" …Discovering routines from large-scale human locations using probabilistic topic models (2011)Discovering routines from lar…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Inferring High-Level Behavior from Low-Level Sensors (2003)Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Predicting future locations with hidden Markov models (2012)Urban activity pattern classification using topic models from online geo-location data (2014)Discovering themes and trends in transportation research using topic modeling (2017)Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy (1997)Birds of a Feather: Homophily in Social Networks (2001)Friendship and mobility (2011)Living on Fumes: Digital Footprints, Data Fumes, and the Limitations of Spatial Big Data (2014)Birds of a feather locate together? Foursquare checkins and personality homophily (2016)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Using GPS to learn significant locations and predict movement across multiple users (2003)Reality mining: sensing complex social systems (2005)Learning and inferring transportation routines (2007)Limits of Predictability in Human Mobility (2010)Smart cities of the future (2012)The Massachusetts Institute of Technology (1999)
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References

  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2009Eigenbehaviors: identifying structure in routine449 cited
  • 2011Discovering routines from large-scale human locations using probabilistic topic models248 cited
  • 2012Beyond "local", "categories" and "friends"63 cited

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