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

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dc.affiliation.dptoUC3M. Departamento de Matemáticases
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)es
dc.affiliation.institutoUC3M. Instituto UC3M - Santander de Big Dataes
dc.contributor.authorMolina, José Luis
dc.contributor.authorOzaita Corral, Juan
dc.contributor.authorTamarit, Ignacio
dc.contributor.authorSánchez, Angel
dc.contributor.authorMcCarty, Christopher
dc.contributor.authorBernard, H. Russell
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderUniversidad Carlos III de Madrides
dc.date.accessioned2023-02-23T08:54:57Z
dc.date.available2023-02-23T08:54:57Z
dc.date.issued2022-09
dc.description.abstractCulture 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.en
dc.description.sponsorshipThis 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).en
dc.format.extent8
dc.identifier.bibliographicCitationMolina, J. L., Ozaita, J., Tamarit, I., Sánchez, A., McCarty, C., & Bernard, H. R. (2022). Structural measures of personal networks predict migrants’ cultural backgrounds: an explanation from Grid/Group theory. PNAS Nexus, 1(4).en
dc.identifier.doihttps://doi.org/10.1093/pnasnexus/pgac195
dc.identifier.issn2752-6542
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue4
dc.identifier.publicationlastpage8
dc.identifier.publicationtitlePNAS Nexusen
dc.identifier.publicationvolume1
dc.identifier.urihttps://hdl.handle.net/10016/36650
dc.identifier.uxxiAR/0000032049
dc.language.isoeng
dc.publisherOxford Academicen
dc.relation.projectIDComunidad de Madrid. Y2018/TCS-4705es
dc.relation.projectIDGobierno de España. PGC2018-098186-B-I00es
dc.relation.projectIDComunidad de Madrid. CAVTIONS-CM-UC3Mes
dc.rights© The Author(s) 2022.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaAntropologíaes
dc.subject.ecienciaMatemáticases
dc.subject.ecienciaSociologíaes
dc.subject.otherCultural Signatureen
dc.subject.otherSocial Signatureen
dc.subject.otherPersonal Networksen
dc.subject.otherGrid/Group theoryen
dc.subject.otherMigrationen
dc.titleStructural measures of personal networks predict migrants' cultural backgrounds: an explanation from Grid/Group theoryen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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