PLoS ONE
Volume 13, Issue 3, 2018
Immigrant community integration in world cities (Article) (Open Access)
Lamanna F. ,
Lenormand M. ,
Salas-Olmedo M.H. ,
Romanillos G. ,
Gonçalves B. ,
Ramasco J.J.
-
a
Institutode Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, Palma de Mallorca, 07122, Spain
-
b
Irstea, UMR TETIS, 500 Rue JF Breton, Montpellier, 34093, France
-
c
Departamento de Geografía Humana, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, 28040, Spain
-
d
Departamento de Geografía Humana, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, 28040, Spain
-
e
Center for Data Science, New York University, New York, NY 10011, United States
-
f
Institutode Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, Palma de Mallorca, 07122, Spain
Abstract
As a consequence of the accelerated globalization process, today major cities all over the world are characterized by an increasing multiculturalism. The integration of immigrant communities may be affected by social polarization and spatial segregation. How are these dynamics evolving over time? To what extent the different policies launched to tackle these problems are working? These are critical questions traditionally addressed by studies based on surveys and census data. Such sources are safe to avoid spurious biases, but the data collection becomes an intensive and rather expensive work. Here, we conduct a comprehensive study on immigrant integration in 53 world cities by introducing an innovative approach: an analysis of the spatio-temporal communication patterns of immigrant and local communities based on language detection in Twitter and on novel metrics of spatial integration. We quantify the Power of Integration of cities-their capacity to spatially integrate diverse cultures- and characterize the relations between different cultures when acting as hosts or immigrants. © 2018 Lamanna et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Author Keywords
[No Keywords available]
Index Keywords
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043761905&doi=10.1371%2fjournal.pone.0191612&partnerID=40&md5=9df99931dc118620c1cc6335833570f6
DOI: 10.1371/journal.pone.0191612
ISSN: 19326203
Cited by: 5
Original Language: English