Figure 4
From: Community detection in networks by dynamical optimal transport formulation
Example of community structure on a synthetic LFR network. The rightmost panel shows the ground-truth community structures to be predicted in an LFR network generated using \(\mu = 0.35\). This network is one sample of the synthetic data used in Fig. 3. Square-shaped markers denote nodes that are assigned to communities different from those in ground-truth. In the middle and last panels, ORC-Nextrout with \(\beta =2\) perfectly retrieves the 21 communities, while OTDSinkhorn predicts only 19 communities with an ARI score of 0.73, wrongly assigning ground-truth dark green and light brown (square-shaped) nodes to the light blue community.
