Encyclopedia of GIS

Living Edition
| Editors: Shashi Shekhar, Hui Xiong, Xun Zhou

Spatiotemporal Analysis of Social Media Data

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-23519-6_1629-1



Social media provide a convenient platform for users to create and share content or to participate in online social activities. With the development of sensor technologies, it also generates large amount of spatiotemporal data, such as check-in records, user restaurant reviews, and geo-temporal tagged tweets. This entry specifically considers analyzing the spatiotemporal patterns in social media data. The problem involves identifying spatiotemporal correlations, building spatiotemporal models, and making predictions in space and time. Given that spatiotemporal observations have complex correlations, the major challenge of the problem is how to take into account the spatial and temporal correlations within the context of social media.

Historical Background

Spatiotemporal analysis for social media data is a relatively young area. Many efforts have been focused on geographical topic discovery,...


Social Media Kalman Filter Latent Dirichlet Allocation Side Information Collaborative Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Authors and Affiliations

  1. 1.Computer Science DepartmentUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Computer Science Department, Viterbi School of EngineeringUniversity of Southern CaliforniaLos AngelesUSA