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Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set
The rapid expansion of the Slavic speakers in the second half of the first millennium CE remains a controversial topic in archaeology, and academic passions on the issue have long run high. Currently, there are three main hypotheses for this expansion. The aim of this paper was to test the so-called...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484688/ https://www.ncbi.nlm.nih.gov/pubmed/36121819 http://dx.doi.org/10.1371/journal.pone.0274687 |
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author | Štular, Benjamin Lozić, Edisa Belak, Mateja Rihter, Jernej Koch, Iris Modrijan, Zvezdana Magdič, Andrej Karl, Stephan Lehner, Manfred Gutjahr, Christoph |
author_facet | Štular, Benjamin Lozić, Edisa Belak, Mateja Rihter, Jernej Koch, Iris Modrijan, Zvezdana Magdič, Andrej Karl, Stephan Lehner, Manfred Gutjahr, Christoph |
author_sort | Štular, Benjamin |
collection | PubMed |
description | The rapid expansion of the Slavic speakers in the second half of the first millennium CE remains a controversial topic in archaeology, and academic passions on the issue have long run high. Currently, there are three main hypotheses for this expansion. The aim of this paper was to test the so-called “hybrid hypothesis,” which states that the movement of people, cultural diffusion and language diffusion all occurred simultaneously. For this purpose, we examined an archaeological Deep Data set with a machine learning method termed time series clustering and with emerging hot spot analysis. The latter required two archaeology-specific modifications: The archaeological trend map and the multiscale emerging hot spot analysis. As a result, we were able to detect two migrations in the Eastern Alps between c. 500 and c. 700 CE. Based on the convergence of evidence from archaeology, linguistics, and population genetics, we have identified the migrants as Alpine Slavs, i.e., people who spoke Slavic and shared specific common ancestry. |
format | Online Article Text |
id | pubmed-9484688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94846882022-09-20 Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set Štular, Benjamin Lozić, Edisa Belak, Mateja Rihter, Jernej Koch, Iris Modrijan, Zvezdana Magdič, Andrej Karl, Stephan Lehner, Manfred Gutjahr, Christoph PLoS One Research Article The rapid expansion of the Slavic speakers in the second half of the first millennium CE remains a controversial topic in archaeology, and academic passions on the issue have long run high. Currently, there are three main hypotheses for this expansion. The aim of this paper was to test the so-called “hybrid hypothesis,” which states that the movement of people, cultural diffusion and language diffusion all occurred simultaneously. For this purpose, we examined an archaeological Deep Data set with a machine learning method termed time series clustering and with emerging hot spot analysis. The latter required two archaeology-specific modifications: The archaeological trend map and the multiscale emerging hot spot analysis. As a result, we were able to detect two migrations in the Eastern Alps between c. 500 and c. 700 CE. Based on the convergence of evidence from archaeology, linguistics, and population genetics, we have identified the migrants as Alpine Slavs, i.e., people who spoke Slavic and shared specific common ancestry. Public Library of Science 2022-09-19 /pmc/articles/PMC9484688/ /pubmed/36121819 http://dx.doi.org/10.1371/journal.pone.0274687 Text en © 2022 Štular et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Štular, Benjamin Lozić, Edisa Belak, Mateja Rihter, Jernej Koch, Iris Modrijan, Zvezdana Magdič, Andrej Karl, Stephan Lehner, Manfred Gutjahr, Christoph Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title | Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title_full | Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title_fullStr | Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title_full_unstemmed | Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title_short | Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set |
title_sort | migration of alpine slavs and machine learning: space-time pattern mining of an archaeological data set |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484688/ https://www.ncbi.nlm.nih.gov/pubmed/36121819 http://dx.doi.org/10.1371/journal.pone.0274687 |
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