Published May 15, 2017 | Version v1

Social sensing of urban land use based on analysis of Twitter users' mobility patterns

  • 1. CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign

Description

A companion dataset for the paper "Social sensing of urban land use based on analysis of Twitter users' mobility patterns". This dataset contains five files and one dictionary depicting the preferential return of Twitter users to their key locations and the urban land use types at these locations. More details can be found in the README file. 

Files

README.txt

Files (320.4 MB)

Name Size
md5:151f00b668aef57095f0f5d460a0f0a2
30.5 MB Download
md5:dd5553848c887acb5d6b160b3bcf8684
793.8 kB Download
md5:0ff40a5107a58508f1665239a45e7d3f
285.5 MB Download
md5:5decfe628e11adfa650c29bc043d1e2d
2.8 MB Download
md5:e60382b672af89821a7436059110523c
872.5 kB Download
md5:c422454f708d734b8567fb4890967077
2.9 kB Preview Download
md5:0f7fa0da5373b837f9f1b9dbcccf5ca7
152 Bytes Download

Additional details

References

  • Soliman, Aiman, Junjun Yin, Kiumars Soltani, Anand Padmanabhan, and Shaowen Wang. "Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users." In Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, pp. 55-58. ACM, 2015.
  • Soltani, Kiumars, Aiman Soliman, Anand Padmanabhan, and Shaowen Wang. "UrbanFlow: Large-scale Framework to Integrate Social Media and Authoritative Landuse Maps." In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, p. 2. ACM, 2016.