Mesoscale Path Concentration from Strictly Local Rewiring in a Minimal Spatial Network

Key Points

• The aim is to explore how local rewiring impacts path concentration in a minimal spatial network.
• Developed a computational model to simulate local rupture and reconnection in a spatial network.
• Emphasized native path-adjacency rather than traditional clustering methods.
• Conducted a post-freeze metric audit to evaluate path concentration and clustering outcomes.
• High native path concentration was achieved, indicating effective local rewiring.
• Observed substantially lower clustering post simple-graph projection, challenging conventional interpretations.