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Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article

A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach. This research aims at showing the node degree, betweenness, sho...

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Detalles Bibliográficos
Autor principal: Ramirez-Arellano, Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848887/
https://www.ncbi.nlm.nih.gov/pubmed/33286673
http://dx.doi.org/10.3390/e22080904
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author Ramirez-Arellano, Aldo
author_facet Ramirez-Arellano, Aldo
author_sort Ramirez-Arellano, Aldo
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description A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach. This research aims at showing the node degree, betweenness, shortest path length, clustering coefficient, and nearest neighbourhoods’ degree, as well as more complex measures such as: the fractal dimension, the complexity of a given network, the Area Under Box-covering, and the Area Under the Robustness Curve. The literary works of Mexican writers were classify according to their genre. Precisely 87% of the full word co-occurrence networks were classified as a fractal. Also, empirical evidence is presented that supports the conjecture that lemmatisation of the original text is a renormalisation process of the networks that preserve their fractal property and reveal stylistic attributes by genre.
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spelling pubmed-78488872021-02-24 Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article Ramirez-Arellano, Aldo Entropy (Basel) Article A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach. This research aims at showing the node degree, betweenness, shortest path length, clustering coefficient, and nearest neighbourhoods’ degree, as well as more complex measures such as: the fractal dimension, the complexity of a given network, the Area Under Box-covering, and the Area Under the Robustness Curve. The literary works of Mexican writers were classify according to their genre. Precisely 87% of the full word co-occurrence networks were classified as a fractal. Also, empirical evidence is presented that supports the conjecture that lemmatisation of the original text is a renormalisation process of the networks that preserve their fractal property and reveal stylistic attributes by genre. MDPI 2020-08-17 /pmc/articles/PMC7848887/ /pubmed/33286673 http://dx.doi.org/10.3390/e22080904 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ramirez-Arellano, Aldo
Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title_full Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title_fullStr Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title_full_unstemmed Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title_short Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article
title_sort classification of literary works: fractality and complexity of the narrative, essay, and research article
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848887/
https://www.ncbi.nlm.nih.gov/pubmed/33286673
http://dx.doi.org/10.3390/e22080904
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