Mapping Knowledge Diffusion: A Network Analysis

Abstract

This diffusion of knowledge through co-authorship, organizational collaboration and country collaboration networks from 2004 to 2023 has been studied in this paper. Utilizing a dataset of 1,349 documents from 830 sources, the research investigates the structure and dynamics of knowledge dissemination. Key metrics such as total link strength, citation counts, and co-authorship patterns are used to identify influential authors, organizations and countries. Thematic focus and trends are explored through author and index keyword analyses, while citation relationships among various entities are examined to map the intellectual structure and collaborative interactions within the field. The results highlight significant contributors like Yi Bu, Ying Ding and Wei Lu in the co-authorship network, with the United States, the United Kingdom, and China leading in international collaborations. The study also identifies prevalent themes such as knowledge diffusion and innovation and emphasizes influential sources like Scientometrics and Journal of Informetrics. Through bibliographic coupling and co-citation analysis, the research uncovers emerging areas and potential interdisciplinary intersections, enhancing the understanding of global knowledge flow. This comprehensive network analysis highlights the crucial role of knowledge diffusion efforts in fostering research, education and informed decision-making within society.