Relationship between Performance Measures and Social Network Analysis Measures in Academic Co-Authorship Networks: Insights Occupational Positive Mental Health and Flourishing

This research aims to analyze the correlation between performance measures and social network analysis in Occupational Positive Mental Health (OPMH) and Flourishing (FL) studies, assessing their global impact in recent decades. The methodology implemented was based on bibliometric analysis, using queries in Web of Science and Scopus databases, adapting the PRISMA methodology for data processing flow, employing bibliometric techniques, web scraping through Crossref, and employing descriptive, correlation, and regression analysis with Omnibus test and likelihood ratio test to measure significance levels. A total of 558 studies (WoS= 268) and (Scopus= 290) were processed, resulting in a total of (n=375) studies. The results reveal that among the collaboration networks, there were Nodes (N= 17,260) and Links (E= 94,772), while citation networks showed Nodes (N= 555) and Links (E= 1,151). Furthermore, a high correlation was found between the variables examined (structural holes, link strength, and quality) and the impact of research conducted in recent years in the fields of OPMH and FL. In conclusion, performance measures and collaborative social network analysis are correlated, enhancing understanding of unstructured information in mental health and other domains. Researchers with strong collaborative and multidisciplinary networks can enhance their impact by producing high-quality research, particularly in innovative areas like OPMH and FL.