Fig. 1: Geometric soft configuration model \({{\mathbb{S}}}^{D}\).
From: The D-Mercator method for the multidimensional hyperbolic embedding of real networks
In D = 2, the similarity subspace corresponds to the surface of a sphere embedded in three dimensions, such that it can be represented visually. Nodes are placed in the two-dimensional sphere representing the similarity subspace and the size of a node is proportional to its expected degree. The angular distances between pairs of nodes A1 − A2 and B1 − B2 are highlighted. Light gray lines on the two-sphere represent connections produced according to the model.
