This document discusses using topological data analysis to analyze the spread of contagions on networks. It introduces contagion maps, which embed network nodes as point clouds based on contagion transmission times. The topology, geometry, and dimensionality of these point clouds are then analyzed and compared to the underlying network manifold. This reveals insights into whether contagion dynamics follow the network's geometric structure. Numerical experiments on simulated networks demonstrate that contagion maps can recover the underlying manifold when wavefront propagation dominates.