Identificando temas emergentes en el paradigma de la Industria 5.0

Carmen Galvez Martínez

doi:10.31637/epsir-2026-2092

Authors

Carmen Galvez Martínez Universidad de Granada https://orcid.org/0000-0001-7454-1254

DOI:

https://doi.org/10.31637/epsir-2026-2092

Keywords:

Industry 5.0, Industry 4.0, Scientific production, Co-citation networks, Keyword co-occurrence networks, Network mining, Information visualization, Science maps

Abstract

Introduction: A network mining approach is presented for the identification of emerging themes in the scientific literature on the Industry 5.0 paradigm. Methodology: A descriptive analysis of the data and a structural bibliometric analysis were carried out, based on the combination of document co-citation analysis, keyword co-occurrence analysis, application of network mining techniques and information visualization. Results: A total of 1.632 documents were retrieved from the Web of Science (WoS) database, covering the period 2016–2024. The scientific maps obtained made it possible to detect the intellectual structure and conceptual structure of the main thematic categories and research areas. Discussions: The topics were categorized and characterized to describe the transformations driven by Industry 5.0. The main research trends focused on the value of human beings, environmental sustainability, economic resilience in the face of adverse situations, the consolidation of advanced digital Artificial Intelligence (AI) technologies, and the integration of virtual reality into manufacturing processes. Conclusions: The methodology used has contributed to a better understanding of this contemporary stage of industrial processes.

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Author Biography

Carmen Galvez Martínez, Universidad de Granada

Full Professor, Department of Information and Communication, University of Granada. PhD in Documentation from the University of Granada. Member of the research group ‘HUM466: Access and Evaluation of Scientific Information’. Areas of interest: Social Network Analysis (SNA) and Network Mining techniques. Lecturer in the Master's Program in Scientific Information and Communication at the University of Granada, teaching the course: ‘Information Visualization: Methodological Model of Structural and Social Network Analysis’. Currently participating in the research project: ‘Artificial Intelligence in Europe: Rise or Decline? A Bibliometric/Patentometric Approach and its Impact on Media and Social Networks’ (Project: PID2023-149646NB-I00, Ministry of Science and Innovation).

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