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.
Funder
City of Stockholm
Kungliga Tekniska Högskolan
Stockholm Chamber of Commerce
Newsec
Horizon 2020
Kungliga Tekniska Högskola
RATP
Dover Corporation
Teck Resources
Lab Campus
Anas S.p.A
Ford
ENEL Foundation
Cities of Laval, Curitiba, and Amsterdam
Publisher
Public Library of Science (PLoS)
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