Adjusted Network Loadings for Dynamic Exploratory Graph Analysis

The possibility of computing network loadings in the context of Exploratory Graph Analysis (EGA) has been recently made possible. In the cross-sectional case, it has been demonstrated that network loadings have a linear, symmetric relationship to their corresponding true population loadings. However, in the dynamical case, the relationship between network loadings and true population loadings has yet to be fully investigated. The present study reveals an asymmetrical relationship between incremental changes in true population loadings and corresponding changes in network loadings, posing challenges to their interpretation. Adjustments to network loadings have been proposed to preserve the rank order of loadings while increasing their spread, thereby enhancing the interpretability and discriminability of network structures.