Artificial Karst system networks generation via random percolation models
Abstract
We compare the artificial Karst system networks generated via artificial noise with uniform random and a correlated noise (Perlin). Using a systematic process involving lattice generation, point selection, and a flood-fill algorithm to connect regions, we constructed networks and analyzed their structural properties. Our results highlight distinct patterns emerging from these noise types, showcasing their potential to model phenomena in real-world complex systems. This study contributes to complexity science by presenting a methodology for deriving networks from stochastic inputs.
Issue
Entangled!
25-28 June 2025, National Institute of Physics, University of the Philippines Diliman
Please visit the SPP2025 activity webpage for more information on this year's Physics Congress.