Change Point Detection in Temporal Networks

I am developing a method for detecting change points of temporal networks, i.e. time series of graphs. on graphs through the lense of information theory. The technique I am studying consists of a physics-inspired method based on the combination of the theory of diffusion on graphs and information theory. Most of the theoretical results that justify this approach are explained in this article. I presented preliminary results of this work at the 2025 workshop on temporal networks held in Oxford, and at NetSci 2025 in Maastricht. I am currently working on the manuscript of the article describing this work.