Structural cluster comparison · Kirsten Gillibrand

Cluster comparison

Side-by-side view of Kirsten Gillibrand's 6-axis behavioral signature against the 3 most structurally-similar tracked entities. Similarity is computed by cosine distance over the metric vector — entities sharing a row do not share a connection, only a behavioral shape.

Methodology — read this first. Cluster membership is a structural observation about documented behavior, never a claim of social affinity, coordination, or shared intent. Two entities can share a behavioral cluster without ever having interacted. The platform does not infer motive or internal state.

Axis	Kirsten Gillibrand this entity	Chuck Schumer 99.9% similarity	SpaceX 99.8% similarity	Nancy Mace 99.8% similarity
Documentation Density	81 (137 facts)	88 (206 facts)	87 (193 facts)	69 (64 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	23 (31/137)	25 (52/206)	19 (37/193)	25 (16/64)
Network Centrality	100 (191 conn)	100 (278 conn)	94 (77 conn)	89 (61 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	2 (1 findings)	3 (2 findings)	2 (1 findings)	5 (1 findings)

Comparison derived from the same Signature data each entity's /conduct-profile/<slug>/signature page uses. JSON export at /signature.json.