Analysis of mobility homophily in Stockholm based on social network data
Name
journal.pone.0247996.pdf
Description
Published version
Size
1.3 MB
Format
Adobe PDF
Checksum (MD5)
b4c7f38e334345ca55e6524659be5ea8
Author(s)
Heine, Cate
Marquez, Cristina
Santi, Paolo
Sundberg, Marcus
Nordfors, Miriam
Ratti, Carlo
Date Issued
March 2021
Journal
PLoS One
Publisher
Public Library of Science (PLoS)
Citation
Heine, Cate et al. "Analysis of mobility homophily in Stockholm based on social network data." PLoS ONE 16,3 (March 2021): e0247996. © 2021 Heine et al
Version
Final published version
Abstract
We present a novel metric for measuring relative connection between parts of a city using geotagged Twitter data as a proxy for co-occurrence of city residents. We find that socioeconomic similarity is a significant predictor of this connectivity metric, which we call “linkage strength”: neighborhoods that are similar to one another in terms of residents’ median income, education level, and (to a lesser extent) immigration history are more strongly connected in terms of the of people who spend time there, indicating some level of homophily in the way that individuals choose to move throughout a city’s districts.
MIT Department
Massachusetts Institute of Technology. SENSEable City Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/journal.pone.0247996
