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文学作品的分类:叙事、散文和研究文章的分形性与复杂性

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

作者信息

Ramirez-Arellano Aldo

机构信息

Sección de Estudios de Posgrado e Investigación, Unidad Profesional Interdisciplinaria de Ingeniería y Ciencias Sociales y Administrativas, Instituto Politécnico Nacional, Ciudad de México 07738, Mexico.

出版信息

Entropy (Basel). 2020 Aug 17;22(8):904. doi: 10.3390/e22080904.

Abstract

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.

摘要

在过去十年中,作为语言系统抽象的复杂网络吸引了众多关注。基于复杂网络方法,使用定量测量的语言类型学研究是当前的一个研究课题。这项研究旨在展示节点度、介数、最短路径长度、聚类系数和最近邻域度,以及更复杂的测量指标,如:分形维数、给定网络的复杂性、盒覆盖下的面积和鲁棒性曲线下的面积。墨西哥作家的文学作品根据其体裁进行分类。确切地说,87%的全词共现网络被归类为分形。此外,还给出了实证证据,支持这样的猜想:原文的词形还原是网络的一种重整化过程,该过程保留其分形特性并按体裁揭示文体属性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/613d/7848887/f8b02cfa80f3/entropy-22-00904-g001.jpg

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