GENERATIVE ARTIFICIAL INTELLIGENCE IN CO-AUTHORSHIP NETWORK ANALYSIS

Authors

Keywords:

artificial intelligence, bibliometrics, co-authorship networks

Abstract

This paper explores the application of generative artificial intelligence (GenAI) and bibliometric tools in the analysis of academic co-authorship networks. The central research problem investigates how different GenAI approaches and specialized software compare in terms of pertinence, methodology, completeness, and performance when analyzing co-authorship networks through the use of the same contextualized prompt. The general objective was to comparatively analyze these tools in the identification of authorship and co-authorship patterns in scientific articles. The methodology adopted was a comparative and exploratory study, with a qualitative and quantitative approach. It consisted of applying an identical prompt to the three GenAI tools (ChatGPT, Gemini and Manus) and submitting the same corpus to VOSviewer, through a procedure compatible with the software’s operation, in order to analyze 627 articles from BRAPCI, focusing on data cleaning, author extraction, publication counting, network construction, metric calculation, and visualization. The data generated were submitted to technical-methodological comparative analysis. The main results revealed convergence in fundamental findings, such as the number of unique authors, network density, and the largest connected component, which validates the overall structure of the network. Specific discrepancies emerged in the exact number of edges and in the methodologies for community detection. ChatGPT presented greater analytical completeness and better methodological explicitness, while VOSviewer maintained its prominence in specialized visualization.

Author Biographies

  • Simone Rezende, Londrina State University

    PhD candidate in Information Science at the State University of Londrina and CAPES scholarship holder. Holds a Master’s degree in Administration, also from the State University of Londrina (2021); a specialization degree in Business Management, Marketing, and Human Resources from UNESPAR – Apucarana Campus (2014); and a Bachelor’s degree in Executive Secretarial Studies from the State Faculty of Economic Sciences of Apucarana (2010). Has experience in Administration, with emphasis on Executive Secretarial Studies, Business Management, and People Management. Served for seven years as Lecturer and Coordinator of Curricular Internship in the Executive Secretarial Studies program at the State University of Londrina. Worked as Articulating Professor of Artificial Intelligence Techniques and Tools in Education at the Center for Distance Education (NEAD) and the Educational Technology Laboratory (LABTED) of the State University of Londrina (UEL) in 2023 and 2024. Served as a member of the Structuring Teaching Committee (NDE) and of the Executive Secretarial Studies Collegiate Board from 2021 to 2023.She is currently a Collaborating Lecturer at UNESPAR – State University of Paraná, Apucarana Campus/FECEA, a member of the Executive Secretarial Studies Collegiate Board, and a member of the Center for Education in Gender Relations (NERG), Apucarana Campus. She is an Associate Professor and Treasurer (2025–2027 administration) of the Brazilian Association for Research in Executive Secretarial Studies (ABPSEC) and of the National Association for Research and Graduate Studies in Information Science (ANCIB).She is the author of the book Executive Secretarial Studies: Competencies and Professional Identity, published in 2022. She also works as a businesswoman, consultant, executive advisor, administrator, and mentor at Business Support Soluções em Assessoria Executiva, where she has been active since 2018.

  • Gilnei Machado, Londrina State University

    Possui graduação em Geografia Licenciatura Plena pela Universidade Federal do Rio Grande (1998), Mestrado em Geografia pela Universidade Federal de Santa Catarina (2002), Doutorado em Geografia pela Universidade Estadual Paulista Júlio de Mesquita Filho (2009) e Doutorado em Scienze Politica pela Universidade Degli Studi di Torino (2008). Finalizou estágio pós-doutoral na Universidade Estadual de Ponta Grossa. Atualmente é professor Associado C na Universidade Estadual de Londrina lecionando nos cursos de Graduação em Geografia e Pós Graduação em Ciências da Informação, sendo responsável por ministrar a disciplina Tópicos Especiais: Sistemas de Informações Georreferenciadas.

Downloads

Published

2026-11-13

Conference Proceedings Volume

2026: XXVI ENCONTRO NACIONAL DE PESQUISA E PÓS-GRADUAÇÃO EM CIÊNCIA DA INFORMAÇÃO

Section

GT 7 – Produção e Comunicação da Informação em Ciência, Tecnologia & Inovação

Categories