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Platial k-anonymity

This repository contains code and data for the following paper:

McKenzie, G., Zhang, H. (2023). Platial k-anonymity: Improving location anonymity through temporal popularity signatures. Proceedings of the 12th International Conference on Geographic Information Science (GIScience '23). 11. LIPIcs. 10.4230/LIPIcs.GIScience.2023.11

Data

Due to twitter's terms of use, the source data only contains tweet identifiers. A tool such as twarc can be used to hydrate these identifiers in order to get the contents, extract the swarm check-in URL from the contents, and get the foursquare venue identifier. The scripts to do this are in the scripts directory.