Beyond "local", "categories" and "friends": clustering foursquare users with latent "topics"

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How researchers see this paper

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Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2013, background): “(Joseph, Tan, and Carley 2012) studies how the topics users discuss drive their geolocation.”
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties (2016, background): “Models in [6], [7] learn from incomplete semantically labeled trajectories with no attempt to compensate for missing data.”
Latent Space Model for Multi-Modal Social Data (2015, methodology): “Indeed, models based on Latent Dirichlet Allocation (LDA) [9] and its extensions have been recently used to analyze user-generated content [47], mobility patterns [34], etc.”