TY - JOUR
T1 - Understanding the reconstruction of personal networks through residential trajectories
AU - Ganjour, Olga
AU - Widmer, Eric D.
AU - Viry, Gil
AU - Gauthier, Jacques Antoine
AU - Kaufmann, Vincent
AU - Drevon, Guillaume
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Network spatiality
KW - Personal networks of migrants
KW - Residential migration
KW - Residential trajectories
KW - Social integration
KW - Social relationships
UR - https://www.mendeley.com/catalogue/85bc1723-fde5-328a-8d5a-0e380a45ad39/
U2 - 10.33182/ML.V17I5.694
DO - 10.33182/ML.V17I5.694
M3 - Article
SN - 1741-8984
VL - 17
SP - 621
EP - 638
JO - Migration Letters
JF - Migration Letters
IS - 5
ER -