Open AccessAnalysis of mobility homophily in Stockholm based on social network data
Author(s) -
Cate Heine,
Cristina Márquez,
Paolo Santi,
Marcus Sundberg,
Miriam Nordfors,
Carlo Ratti
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0247996
Subject(s) - homophily , socioeconomic status , proxy (statistics) , similarity (geometry) , metric (unit) , geographical distance , geography , social network (sociolinguistics) , demography , social media , computer science , sociology , statistics , world wide web , mathematics , economics , population , social science , artificial intelligence , image (mathematics) , operations management
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.