Furthermore, analysing biological networks as a function of a length scale at a single point in time can potentially lose critical information. For a biological network, a meaningful length scale is already defined as approximately the length of one biomolecule, and the most meaningful information is in how those networks vary across time. To resolve this, we can look at persistence diagrams generated at different timescales and a fixed length scale. Related work by discusses using persistence diagrams that are functions of both length scales and time scales to measure similarity between zeolites. In this work, we take the idea of a persistence diagram (and the associated metrics for birth-death diagrams and ring lifetimes) and show their qualitative power for analysing ring statistics over time.