Bibliometric and visualized analysis of social network analysis research on Scopus databases and VOSviewer

The utilization of the social network analysis (SNA) approach dates back to 1928, and since then, it has shown a notable increase and has contributed to a body of research significantly. However, recent years have seen limited bibliometric analyses focusing on the SNA approach. This study seeks to conduct an in-depth review of SNA literature through bibliometric analysis, employing the methodology derived from Garza-Reyes’s Five Phases of Bibliometric Analysis. The findings reveal the refinement of 4487 datasets sourced from Scopus databases, with visualization accomplished using VOSviewer. The cluster analysis finds that as many as 5 clusters with a set of keywords. Keywords that can become potential issues for future study found in this study such as integration, risk management, politics, online social network, collaboration network, Facebook, health care organization, stakeholder engagement, group process, clinical trial, risk-taking, adolescent, family, social organization, aggression, pandemic and sars-cov-2, et cetera.People have been studying how we connect with each other since way back in 1928. Social network analysis (SNA) is the method they use for that. Over the years, it’s become super popular and has added a lot to what we know. Not many have been checking out this method in recent years using a tool called bibliometric analysis. Therefore, the authors decided to delve into it. The authors dove into a bunch of data (around 4487 sets of info) from this big research database called Scopus. The authors then used a cool tool called VOSviewer to help see all this information. The authors found 5 clusters of data with different keywords. These keywords are like the main topics such as risk management, online social network, collaboration network, health care organization, stakeholder engagement, group process, family, social organization, aggression, pandemic and more, could be big topics for future research.