Urbanity and the dynamics of language shift in Galicia

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física Aplicadagl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículasgl
dc.contributor.authorMussa Juane, Mariamo
dc.contributor.authorSeoane, Luis F.
dc.contributor.authorPérez Muñuzuri, Alberto
dc.contributor.authorMira Pérez, Jorge
dc.date.accessioned2019-04-11T12:37:22Z
dc.date.available2019-04-11T12:37:22Z
dc.date.issued2019
dc.description.abstractSociolinguistic phenomena often involve interactions across different scales and result in social and linguistic changes that can be tracked over time. Here, we focus on the dynamics of language shift in Galicia, a bilingual community in northwest Spain. Using historical data on Galician and Spanish speakers, we show that the rate at which shift dynamics unfold correlates inversely with the internal complexity of a region (approximated by the proportion of urban area). Less complex areas converge faster to steady states, while more complex ones sustain transitory dynamics longer. We further explore the contextual relevance of each region within the network of regions that constitute Galicia. The network is observed to sustain or reverse the dynamic rates. This model can introduce a competition between the internal complexity of a region and its contextual relevance in the network. Harnessing these sociodynamic features may prove useful in policy making to limit conflictsgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipWe gratefully acknowledge financial support by the Spanish Ministerio de Economía y Competitividad and European Regional Development Fund under contract MAT2015-71119-R AEI/FEDER, UE, and by Xunta de Galicia under Research Grant No. GPC2015/014. A.P.M. and M.M.J. are part of the CRETUS Strategic Partnership (AGRUP2015/02) and J.M. is part of the AeMAT Strategic Partnership (Grant No. ED431E2018/08), both supported by Xunta de Galicia. All these programs are co-funded by FEDER (UE). J. M. acknowledges support from the Xunta de Galicia under the Strategic Grouping AEMAT (Grant No. ED431E2018/08)gl
dc.identifier.citationMussa Juane, M., Seoane, L., Muñuzuri, A., & Mira, J. (2019). Urbanity and the dynamics of language shift in Galicia. Nature Communications, 10(1). doi: 10.1038/s41467-019-09688-8gl
dc.identifier.doi10.1038/s41467-019-09688-8
dc.identifier.essn2041-1723
dc.identifier.urihttp://hdl.handle.net/10347/18599
dc.language.isoenggl
dc.publisherSpringer Naturegl
dc.relation.publisherversionhttps://doi.org/10.1038/s41467-019-09688-8gl
dc.rights© The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectComplex networksgl
dc.subjectInterdisciplinary studiesgl
dc.subjectNonlinear phenomenagl
dc.subjectSocial sciencesgl
dc.subjectSociologygl
dc.titleUrbanity and the dynamics of language shift in Galiciagl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationac82dae1-bab8-4f3d-a37c-d13662246534
relation.isAuthorOfPublication80f5b8b1-a702-4f35-967d-0d93cce9518a
relation.isAuthorOfPublication.latestForDiscoveryac82dae1-bab8-4f3d-a37c-d13662246534

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