Measuring inter-city network using digital footprints from twitter users

Yuqin Jiang, Zhenlong Li, Xinyue Ye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

City connectivity is an important measurement in characterizing human dynamics from regional to international scales. World City Network has been built based on companies' communication. The interactions between spatial and social dimensions of cities have both conceptual and practical significance. To further expand the studies of inter-city network in the big social data context, this research builds a network at the county level using digital footprints from Twitter users. Retrieving geotags from Twitter users, we identify the connection strength of each pair of counties based on the amounts of shared users who leave digital footprints on both counties. Using the shared user amount as the weighted link and each county as the node, we build a county-to-county user flow network. Various network structures have been detected at the state level. In addition, by creating a direct flow chain, we can identify influential counties and its hinterland. This network demonstrates how human mobility operate across various spatial settings and distances. Results of this study can be used in transportation planning, regional planning and metropolitan management.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
EditorsAkihito Sudo, Lau Hoong Chin, Takahiro Yabe, Xuan Song, Yoshihide Sekimoto
PublisherAssociation for Computing Machinery, Inc
Pages25-31
Number of pages7
ISBN (Electronic)9781450360425
DOIs
StatePublished - Nov 6 2018
Event2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018 - Seattle, United States
Duration: Nov 6 2018 → …

Publication series

NameProceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018

Conference

Conference2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
CountryUnited States
CitySeattle
Period11/6/18 → …

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Transportation
  • Computer Science Applications

Keywords

  • Big data
  • Human mobility
  • Inter-city network
  • Social media

Cite this

Jiang, Y., Li, Z., & Ye, X. (2018). Measuring inter-city network using digital footprints from twitter users. In A. Sudo, L. H. Chin, T. Yabe, X. Song, & Y. Sekimoto (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018 (pp. 25-31). (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3283590.3283594