Fig. 4: Case study: the Add-health dataset.
From: The D-Mercator method for the multidimensional hyperbolic embedding of real networks
Top panels show the embeddings in a D = 1 and b two perspectives of the D = 2 similarity space of D-Mercator embeddings of the network. The size of a node is proportional to its expected degree, and its color indicates the community it belongs to. For the sake of clarity, only the connections with probability pij > 0.5 given by Eq. (1) are shown. Bottom panels show the performance of c community concentration (cC), d community detection (NMI), e modularity (Q), and f the success rate of GR (ps).
