Derivative of a hypergraph as a tool for linguistic pattern analysis

Ángeles Criado-Alonso, David Aleja, Miguel Romance and Regino Criado

Chaos, Solitons & Fractals, 2022, vol. 163, issue C

Abstract: The search for linguistic patterns together with stylometry and forensic linguistics has in the theory of complex networks, its structures and its associated mathematical tools essential resources for representing and analyzing texts. In this paper we introduce a new model able to analyze the mesoscopic relationships between sentences, paragraphs, chapters and texts. This model is supported by several mathematical structures such as the hypergraphs or the concept of derivative graph. The methodology raised from this perspective focuses not only in a quantitative index but also in two peculiar mathematical structures named derivative graph and homogeneity graph. These structures are of singular help to both: detecting the style of an author and determining the linguistic level of a text and, eventually, also for detecting similarities and dissimilarities in texts and even plagiarism.

Keywords: Linguistic patterns; Hypergraph; Derivative of a hypergraph; Higher order network; Dual hypergraph; PageRank; Linguistic stylometry (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:163:y:2022:i:c:s0960077922007901

DOI: 10.1016/j.chaos.2022.112604

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