Kwauntdream v2.5.1

Experimental model exploring how wave interference patterns emerge in networks and how topology shapes correlation strength between nodes. This project presents a Python-based simulation framework that models wave-like dynamics over graph Laplacians. The system evolves complex amplitudes across different network types (e.g., small-world and random graphs) and measures pairwise correlation strength between nodes based on structural and phase relationships. The resulting datasets (nodes_agg.csv and summary.csv) contain aggregated node-level and configuration-level metrics, providing insights into how connectivity and degree distribution influence the stability and coherence of wave propagation in networks.