Structural measures of personal networks predict migrants' cultural backgrounds: An explanation from Grid/Group theory

José Luis Molina, Juan Ozaita, Ignacio Tamarit, Angel Sánchez, Christopher McCarty, H. Russell Bernard

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberpgac195
JournalPNAS Nexus
Volume1
Issue number4
DOIs
StatePublished - Sep 1 2022

Keywords

  • cultural signature
  • grid/group theory
  • migration
  • personal networks
  • social signature

ASJC Scopus subject areas

  • General

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