Preferential Attachment
Network Growth Simulator · f(k) = (k + δ)
α
Attachment Exponent α
1.0
0 (uniform)
1 (linear)
2.5 (super)
δ (offset)
0.1
1.0
5
Max Nodes
20
80
200
Speed
▶ Play
↺ Reset
Step +1
Skip →
Nodes
1
Max Deg
0
Hub Share
—
Root Deg
0
ER Noise · G(n, q)
q value
0.05
0
Expected ER edges:
—
0.3
+ Add ER Noise
✕ Clear
ER Layer Active
ER edges added:
0
nq =
—
●
root
●
hub
—
ER noise edges
Linear PA
Degree Distribution (top 40 nodes by degree)