Co-authorship network visualization as bibliometric input for scientific journals: a web scraping proposal for the Em Questão and Encontros Bibli journals

ABSTRACT

Objective:

To propose, through web scraping of journal websites, a means to visualize co-authorship networks among authors who have published articles in these journals. Specifically, to generate inputs for bibliometric analyses directly from the electronic portal of the Encontros Bibli and Em Questão journals.

Method:

Implement a code in the R programming language to read, identify, extract, organize, structure, and visualize co-authorship networks, applying it to the Encontros Bibli and Em Questão journals.

Results:

Demonstrates the use and functionality of the code, as well as its strong performance, and suggests the inclusion of these networks on the journals' electronic portals. Concludes that web scraping can be used by both journals and researchers to create internal co-authorship networks and provide valuable information to researchers.

Conclusions:

Web scraping can be employed by journals to construct their own co-authorship networks and provide additional analyzable information to researchers. Furthermore, it can be used by researchers as a data extraction method for scientific journals, especially those built using the Open Journal System, as journals using this system have similar structures. By proposing and providing a web scraping-based code, this study highlights the high bibliometric potential of this technique, contributing to new perspectives on computational techniques applied to bibliometrics.

KEYWORDS:
Bibliometrics; Co-authorship; Scientific Journals; Scientific Production; Web scraping