Network Motif Census
Subgraph census: triangles, feed-forward loops, and Z-scores vs random graph
Network Visualization
Motif Z-scores vs Null Model
Parameters
Nodes N:
25
Density p:
0.15
FFL bias:
0.30
Network type:
Erdős–Rényi
E.coli-like (transcription)
Scale-free
Lattice
Rewire Network
Triangles:
—
FFL (type-1):
—
FBL (feedback):
—
Clustering C:
—
Motif score M:
—
Feed-forward loops (FFL): overrepresented in gene regulatory networks — implement sign-sensitive delay & pulse generation. Z = (N_real - N_rand)/σ_rand
3-Node Motif Atlas (13 types)