Ethnicity and population structure in personal naming networks.

Personal naming practices exist in all human groups and are far from random. Rather, they continue to reflect social norms and ethno-cultural customs that have developed over generations. As a consequence, contemporary name frequency distributions retain distinct geographic, social and ethno-cultura...

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Autores principales:	Pablo Mateos, Paul A Longley, David O'Sullivan
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d7b7aab461284458af1fc712a1503ae8
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spelling	oai:doaj.org-article:d7b7aab461284458af1fc712a1503ae82021-11-18T06:46:41ZEthnicity and population structure in personal naming networks.1932-620310.1371/journal.pone.0022943https://doaj.org/article/d7b7aab461284458af1fc712a1503ae82011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21909399/?tool=EBIhttps://doaj.org/toc/1932-6203Personal naming practices exist in all human groups and are far from random. Rather, they continue to reflect social norms and ethno-cultural customs that have developed over generations. As a consequence, contemporary name frequency distributions retain distinct geographic, social and ethno-cultural patterning that can be exploited to understand population structure in human biology, public health and social science. Previous attempts to detect and delineate such structure in large populations have entailed extensive empirical analysis of naming conventions in different parts of the world without seeking any general or automated methods of population classification by ethno-cultural origin. Here we show how 'naming networks', constructed from forename-surname pairs of a large sample of the contemporary human population in 17 countries, provide a valuable representation of cultural, ethnic and linguistic population structure around the world. This innovative approach enriches and adds value to automated population classification through conventional national data sources such as telephone directories and electoral registers. The method identifies clear social and ethno-cultural clusters in such naming networks that extend far beyond the geographic areas in which particular names originated, and that are preserved even after international migration. Moreover, one of the most striking findings of this approach is that these clusters simply 'emerge' from the aggregation of millions of individual decisions on parental naming practices for their children, without any prior knowledge introduced by the researcher. Our probabilistic approach to community assignment, both at city level as well as at a global scale, helps to reveal the degree of isolation, integration or overlap between human populations in our rapidly globalising world. As such, this work has important implications for research in population genetics, public health, and social science adding new understandings of migration, identity, integration and social interaction across the world.Pablo MateosPaul A LongleyDavid O'SullivanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 9, p e22943 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pablo Mateos Paul A Longley David O'Sullivan Ethnicity and population structure in personal naming networks.
description	Personal naming practices exist in all human groups and are far from random. Rather, they continue to reflect social norms and ethno-cultural customs that have developed over generations. As a consequence, contemporary name frequency distributions retain distinct geographic, social and ethno-cultural patterning that can be exploited to understand population structure in human biology, public health and social science. Previous attempts to detect and delineate such structure in large populations have entailed extensive empirical analysis of naming conventions in different parts of the world without seeking any general or automated methods of population classification by ethno-cultural origin. Here we show how 'naming networks', constructed from forename-surname pairs of a large sample of the contemporary human population in 17 countries, provide a valuable representation of cultural, ethnic and linguistic population structure around the world. This innovative approach enriches and adds value to automated population classification through conventional national data sources such as telephone directories and electoral registers. The method identifies clear social and ethno-cultural clusters in such naming networks that extend far beyond the geographic areas in which particular names originated, and that are preserved even after international migration. Moreover, one of the most striking findings of this approach is that these clusters simply 'emerge' from the aggregation of millions of individual decisions on parental naming practices for their children, without any prior knowledge introduced by the researcher. Our probabilistic approach to community assignment, both at city level as well as at a global scale, helps to reveal the degree of isolation, integration or overlap between human populations in our rapidly globalising world. As such, this work has important implications for research in population genetics, public health, and social science adding new understandings of migration, identity, integration and social interaction across the world.
format	article
author	Pablo Mateos Paul A Longley David O'Sullivan
author_facet	Pablo Mateos Paul A Longley David O'Sullivan
author_sort	Pablo Mateos
title	Ethnicity and population structure in personal naming networks.
title_short	Ethnicity and population structure in personal naming networks.
title_full	Ethnicity and population structure in personal naming networks.
title_fullStr	Ethnicity and population structure in personal naming networks.
title_full_unstemmed	Ethnicity and population structure in personal naming networks.
title_sort	ethnicity and population structure in personal naming networks.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/d7b7aab461284458af1fc712a1503ae8
work_keys_str_mv	AT pablomateos ethnicityandpopulationstructureinpersonalnamingnetworks AT paulalongley ethnicityandpopulationstructureinpersonalnamingnetworks AT davidosullivan ethnicityandpopulationstructureinpersonalnamingnetworks
_version_	1718424448634191872

Ethnicity and population structure in personal naming networks.

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