AI RESEARCH
Conditional Entropy of Heat Diffusion on Temporal Networks
arXiv CS.LG
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ArXi:2605.21514v1 Announce Type: cross Many complex systems can be modeled by temporal networks, whose organization often evolves through distinct structural phases. Detecting the change points that delimit these phases is both important and challenging. In this work, we extend the conditional entropy of heat diffusion from static graphs to temporal networks and study its properties. We provide an upper bound and explain how discrepancies from it arise from the presence of asymmetric temporal paths.