Scientific journal disciplinarity quantification and sorting using a network index

Inácio Sousa Fadigas (), Marcos Grilo () and Hernane Borges Barros Pereira ()
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Inácio Sousa Fadigas: State University of Feira de Santana
Marcos Grilo: State University of Feira de Santana
Hernane Borges Barros Pereira: SENAI Cimatec University Center

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 3, No 28, 2563-2573

Abstract: Abstract In this article, we present the results of research using a network index, called the vertex reduction factor, to quantify and to sort the disciplinarity of journals. The index is based on the repeatability of article title words. Titles were obtained from 16 journals from different areas of knowledge. We took as a reference the Scopus database, which classifies the journals into 4 main areas, divided into 26 thematic areas. We define a Journal’s Disciplinarity Factor, independent of the size of the network, from which it is possible to quantify and rank the journals according to their greater or lesser multidisciplinary nature. We found that journals such as Science and Nature, self-declared as multidisciplinary, presented less multidisciplinary potential than expected, compared with other journals.

Keywords: Disciplinarity; Semantic network of paper’s titles; Network of cliques; Classification (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01467-w

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