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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...

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Autores principales: Amati, Viviana, Mol, Angus, Shafie, Termeh, Hofman, Corinne, Brandes, Ulrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
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.
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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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