An Approach to the Methodology of Social Network Analysis and Information Metrics Studies

This essay presents a theoretical approach to Social Network Analysis (SNA) and Information Metrics Studies (IMS), particularly bibliometrics, as complementary methodologies for analyzing scientific collaboration. The main objective is to argue for the relevance of integrating both approaches to enrich the understanding of knowledge production and dissemination processes, especially within the field of library and information science. The methodology is based on a documentary and conceptual review of specialized academic literature, which enabled the identification of theoretical foundations, commonly used indicators, and technological tools associated with each approach. The essay discusses key bibliometric indicators such as the co-authorship and collaboration indexes, as well as structural metrics from SNA, including degree, centrality, and betweenness. As a result, the combined use of both methodologies is shown to allow not only the measurement of scientific productivity but also the visualization of relationships among actors, the detection of collaboration patterns, the identification of strategic nodes, and the development of informed recommendations to enhance editorial processes and research management. The essay concludes with a proposal to strengthen the teaching and practical application of these methodologies in academic and scientific settings, positioning them as powerful tools for more comprehensive, evidence-based, and context-sensitive decision-making.