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Network analysis as an alternative way to interpret constitutions

This article aims to identify networks of constitutional text structured in an imperceptible way. Constitutions has the power to reveal how its devices “dialogue” with each other, forming their own communicative communities. With the help from the network analysis methodology, an interpretative mode...

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Detalles Bibliográficos
Autor principal: Silveira e Silva, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559923/
https://www.ncbi.nlm.nih.gov/pubmed/34724006
http://dx.doi.org/10.1371/journal.pone.0259461
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author Silveira e Silva, Rafael
author_facet Silveira e Silva, Rafael
author_sort Silveira e Silva, Rafael
collection PubMed
description This article aims to identify networks of constitutional text structured in an imperceptible way. Constitutions has the power to reveal how its devices “dialogue” with each other, forming their own communicative communities. With the help from the network analysis methodology, an interpretative model of textual mapping is proposed based on internal references between the provisions of one Constitution. We use the Brazilian Constitution, whose text is very detailed, analytical and deals with various issues. As a result, a network was identified that included 174 connections between 95 articles of the Constitution and the existence of normative communities that share codes or communicative standards. The study demonstrates the strong possibility to found structuring axis of this communities and relates to the other issues that have reached constitutional stature, showing that the complexity of some Constitutions can be observed beyond its logical sequential structure.
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spelling pubmed-85599232021-11-02 Network analysis as an alternative way to interpret constitutions Silveira e Silva, Rafael PLoS One Research Article This article aims to identify networks of constitutional text structured in an imperceptible way. Constitutions has the power to reveal how its devices “dialogue” with each other, forming their own communicative communities. With the help from the network analysis methodology, an interpretative model of textual mapping is proposed based on internal references between the provisions of one Constitution. We use the Brazilian Constitution, whose text is very detailed, analytical and deals with various issues. As a result, a network was identified that included 174 connections between 95 articles of the Constitution and the existence of normative communities that share codes or communicative standards. The study demonstrates the strong possibility to found structuring axis of this communities and relates to the other issues that have reached constitutional stature, showing that the complexity of some Constitutions can be observed beyond its logical sequential structure. Public Library of Science 2021-11-01 /pmc/articles/PMC8559923/ /pubmed/34724006 http://dx.doi.org/10.1371/journal.pone.0259461 Text en © 2021 Rafael Silveira e Silva 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
Silveira e Silva, Rafael
Network analysis as an alternative way to interpret constitutions
title Network analysis as an alternative way to interpret constitutions
title_full Network analysis as an alternative way to interpret constitutions
title_fullStr Network analysis as an alternative way to interpret constitutions
title_full_unstemmed Network analysis as an alternative way to interpret constitutions
title_short Network analysis as an alternative way to interpret constitutions
title_sort network analysis as an alternative way to interpret constitutions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559923/
https://www.ncbi.nlm.nih.gov/pubmed/34724006
http://dx.doi.org/10.1371/journal.pone.0259461
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