Vol. 6 No. 11 (23): Network analysis for modeling knowledge generation and diffusion
The papers included in this selection indicate that network analysis has established as a methodological strategy in scientific research across various fields, enabling the identification of patterns, structures, and dynamics within extensive datasets. This collection has the potential to foster a deeper understanding of network analysis application in the computational modeling of knowledge generation and dissemination, bringing interdisciplinary studies encompassing the humanities, social sciences, and exact sciences. Selected papers cover different aspects of network analysis, from its use in identifying patterns and structures in large datasets to its application in visualizing and modeling complex networks. The discussions have highlighted the challenges and limitations associated with using network analysis in scientific research, production overviews, and modeling options.
