Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data

@article{Yin2017DepictingUB,
  title={Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data},
  author={Junjun Yin and Aiman Soliman and Dandong Yin and Shaowen Wang},
  journal={International Journal of Geographical Information Science},
  year={2017},
  volume={31},
  pages={1293 - 1313}
}
ABSTRACTExisting urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. [] Key Method Specifically, we depicted the urban boundaries of Great Britain using a mobility network of Twitter user spatial interactions, which was inferred from over 69 million geo-located tweets.

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