Edges decay with age · new edges form by preference · topology evolves in time
PARAMETERS
CONTROLS
LIVE STATS
Time step0
Active edges0
Avg degree0.00
Clustering C0.000
Max degree0
Aging model:
At each step: (1) each edge ages by 1; edges older than lifetime are removed. (2) New edges form by preferential attachment (prob ∝ k^α).
At low lifetimes: random-like network (Erdős-Rényi). At high lifetimes + strong preference: scale-free (BA). Intermediate: rich dynamics including community formation and rewiring cascades.