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Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set

PloS one, 2022-09, Vol.17 (9), p.e0274687-e0274687 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Štular et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;2022 Štular et al 2022 Štular et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0274687 ;PMID: 36121819

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Title:
Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set
Author: Stular, Benjamin ; Lozic, Edisa ; Belak, Mateja ; Rihter, Jernej ; Koch, Iris ; Modrijan, Zvezdana ; Magdic, Andrej ; Karl, Stephan ; Lehner, Manfred ; Gutjahr, Christoph
Wichmann, Søren
Subjects: Anthropological research ; Archaeology ; Archaeology and Prehistory ; Artificial Intelligence ; Biology and Life Sciences ; Clustering ; Computer Science ; Data mining ; Datasets ; Diffusion ; Early Middle Ages ; Earth Sciences ; Ecology and Environmental Sciences ; Emigration and immigration ; Genetics ; Historiography ; Hot spots ; Humanities and Social Sciences ; Hypotheses ; Language ; Language shift ; Learning algorithms ; Linguistics ; Machine learning ; Methods ; Migration ; Pattern analysis ; People and Places ; Population genetics ; Slavic languages ; Social Sciences ; Spacetime
Is Part Of: PloS one, 2022-09, Vol.17 (9), p.e0274687-e0274687
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.
Publisher: San Francisco: Public Library of Science
Language: English
Identifier: ISSN: 1932-6203
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0274687
PMID: 36121819
Source: PLoS (Open access)
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HAL SHS: Archive ouverte en Sciences de l'Homme et de la Société (Open Access)
Hyper Article en Ligne (HAL) (Open Access)
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NCBI PubMed Central（免费）
ProQuest Central

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Migration of Alpine Slavs and machine learning: Space-time pattern mining of an archaeological data set

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