Mapping the intellectual structure of the literature on leveraging social network for knowledge management: a bibliometric review

Social networks facilitate knowledge sharing, collaboration, and innovation by connecting experts and ideas. This study aims to conduct an extensive bibliometric review to ascertain the intellectual structure of social network and knowledge management (SN KM) studies. The study employs performance analysis and science mapping analysis on 532 documents retrieved from Scopus database between 1992 to 2024. Biblioshiny in RStudio package merged with VOSviewer was used to analyse and visualise data. The study analysed co-occurrence keywords, citation analysis, collaboration among countries and authors, and influential affiliations and documents. Bibliographic coupling and keyword analysis have been conducted to identify present research landscape and future roadmap. The results indicate a significant increase in publications over the past decade, highlighting most prolific authors, documents, countries, institutions, and journals in this field. The USA, UK, and China were noted as the most contributive countries leading international collaborations, where findings contradict Lotka's and Bradford's Laws.