RT Journal Article
T1 Structural measures of personal networks predict migrants' cultural backgrounds: an explanation from Grid/Group theory
A1 Molina, José Luis
A1 Ozaita Corral, Juan
A1 Tamarit, Ignacio
A1 Sánchez, Angel
A1 McCarty, Christopher
A1 Bernard, H. Russell
AB Culture and social structure are not separated analytical domains but intertwined phenomena observable in personal networks. Drawing on a personal networks dataset of migrants in the United States and Spain, we show that the country of origin, a proxy for diverse languages and cultural institutions, and religion may be predicted by specific combinations of personal network structural measures (closeness, clustering, betweenness, average degree, etc). We obtain similar results applying three different methods (a multinomial logistic regression, a Random Forest algorithm, and an artificial neural network). This finding is explained within the framework of the Grid/Group theory that has long posed the interdependence of social structural and cultural features of human groups.
PB Oxford Academic
SN 2752-6542
YR 2022
FD 2022-09
LK https://hdl.handle.net/10016/36650
UL https://hdl.handle.net/10016/36650
LA eng
NO This research has been funded by the National Science Foundation (BCS-0417429), the MINECO-FEDER (PGC2018-098186-B-I00, J.O., A.S.), the Comunidad de Madrid (PRACTICO-CM), and the UC3M (CAVTIONS-CM-UC3M).
DS e-Archivo
RD 27 jul. 2024