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research article

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Ganjour, Olga
•
Widmer, Eric D.
•
Viry, Gil
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January 1, 2020
Migration Letters

This article examines how residential trajectories influence the spatiality and composition of personal networks. Three mechanisms are considered: the addition of spatially close network members, the selection of spatially distant network members, and the substitution of spatially distant network members by spatially close ones. An ego-centred network analysis combined with sequence analysis of residential experiences is used to capture the personal networks and the residential trajectories of individuals from two birth cohorts in Switzerland. A series of regression models test the association between the types of personal networks that individuals develop, in terms of both spatial dispersion and composition, and their residential trajectories. The results show that individuals who moved far away from their place of birth are embedded in large and diversified personal networks, which include spatially distant relatives, local nuclear family members, and local friends. On average, individuals who experienced residential migration have larger and more diverse personal networks than individuals who stayed close to their place of birth. The addition mechanism accounts for much of this greater diversity.

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Type
research article
DOI
10.33182/ml.v17i5.694
Web of Science ID

WOS:000576312900006

Author(s)
Ganjour, Olga
Widmer, Eric D.
Viry, Gil
Gauthier, Jacques-Antoine
Kaufmann, Vincent  
Drevon, Guillaume  
Date Issued

2020-01-01

Published in
Migration Letters
Volume

17

Issue

5

Start page

621

End page

638

Subjects

Demography

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Demography

•

residential migration

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residential trajectories

•

personal networks of migrants

•

network spatiality

•

social integration

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social relationships

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social networks

•

ties

•

migrants

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mobility

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family

•

experiences

•

migration

•

distance

•

support

•

women

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASUR  
Available on Infoscience
October 24, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/172721
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