Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks
Fig 9
The multivariate community separability analysis of the network representations (MCSAnr).
x-axis for PC1 and y-axis for PC2. (a) spots of the same shape represent the same embedding method, spots of the same color represent the same network representation, the dashed lines of the same color connect the same network’s representations evaluated using different separability measures across the networks. (b) adaptive geometric separability (AGS) values evaluated in each network for the three different embedding methods. (c) mean separability of each embedding method across the networks. (d) minimum separability of each embedding method across the networks.