The data set includes the following content: geotagged tweets, different types of street representation in London (e.g. natural streets and street segments) and code for urban movement simulation.
In this study, Tweets were used as inputs for structural topic modelling (STM) to detect what topics were expressed by social media users. The STM identified 20 topics ranging from daily life to profe
This research aims to reduce the population bias in the original Geotweets dataset. A workflow is generated based on Alteryx, extracting the Geotweets which are posted by the local residential users.
