Researchers are exploring various methods for community detection in complex networks, including approaches based on Ollivier-Ricci curvature and Ricci flow. These methods, which also incorporate concepts such as dynamical optimal transport and geometric topology, aim to uncover the structure and organization of networks. The applications of these techniques appear to be diverse, ranging from biological networks to time-varying complex networks and cellular differentiation trajectories.