Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis

ArXi:2509.08350v2 Announce Type: replace-cross Many complex networks, ranging from social to biological systems, exhibit structural patterns consistent with an underlying hyperbolic geometry. Revealing the dimensionality of this latent space can disentangle the structural complexity of communities, impact efficient network navigation, and fundamentally shape connectivity and system behavior. We