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A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models
Reconstructing ties between archaeological contexts may contribute to explain and describe a variety of past social phenomena. Several models have been formulated to infer the structure of such archaeological networks. The applicability of these models in diverse archaeological contexts is limited b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252583/ https://www.ncbi.nlm.nih.gov/pubmed/32508485 http://dx.doi.org/10.1007/s10816-019-09423-z |
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author | Amati, Viviana Mol, Angus Shafie, Termeh Hofman, Corinne Brandes, Ulrik |
author_facet | Amati, Viviana Mol, Angus Shafie, Termeh Hofman, Corinne Brandes, Ulrik |
author_sort | Amati, Viviana |
collection | PubMed |
description | Reconstructing ties between archaeological contexts may contribute to explain and describe a variety of past social phenomena. Several models have been formulated to infer the structure of such archaeological networks. The applicability of these models in diverse archaeological contexts is limited by the restricted set of assumptions that fully determine the mathematical formulation of the models and are often articulated on a dyadic basis. Here, we present a general framework in which we combine exponential random graph models with archaeological substantiations of mechanisms that may be responsible for network formation. This framework may be applied to infer the structure of ancient networks in a large variety of archaeological settings. We use data collected over a set of sites in the Caribbean during the period AD 100–400 to illustrate the steps to obtain a network reconstruction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10816-019-09423-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7252583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-72525832020-06-04 A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models Amati, Viviana Mol, Angus Shafie, Termeh Hofman, Corinne Brandes, Ulrik J Archaeol Method Theory Article Reconstructing ties between archaeological contexts may contribute to explain and describe a variety of past social phenomena. Several models have been formulated to infer the structure of such archaeological networks. The applicability of these models in diverse archaeological contexts is limited by the restricted set of assumptions that fully determine the mathematical formulation of the models and are often articulated on a dyadic basis. Here, we present a general framework in which we combine exponential random graph models with archaeological substantiations of mechanisms that may be responsible for network formation. This framework may be applied to infer the structure of ancient networks in a large variety of archaeological settings. We use data collected over a set of sites in the Caribbean during the period AD 100–400 to illustrate the steps to obtain a network reconstruction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10816-019-09423-z) contains supplementary material, which is available to authorized users. Springer US 2019-08-19 2020 /pmc/articles/PMC7252583/ /pubmed/32508485 http://dx.doi.org/10.1007/s10816-019-09423-z Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Article Amati, Viviana Mol, Angus Shafie, Termeh Hofman, Corinne Brandes, Ulrik A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title | A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title_full | A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title_fullStr | A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title_full_unstemmed | A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title_short | A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models |
title_sort | framework for reconstructing archaeological networks using exponential random graph models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252583/ https://www.ncbi.nlm.nih.gov/pubmed/32508485 http://dx.doi.org/10.1007/s10816-019-09423-z |
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