Structural cluster comparison · Harriet M. Hageman

Cluster comparison

Side-by-side view of Harriet M. Hageman'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	Harriet M. Hageman this entity	Central Intelligence Agency (CIA) 100.0% similarity	Ken Calvert 99.8% similarity	Kat Cammack 99.7% similarity
Documentation Density	82 (144 facts)	78 (115 facts)	75 (96 facts)	79 (122 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	73 (105/144)	70 (81/115)	67 (64/96)	63 (77/122)
Network Centrality	95 (81 conn)	90 (68 conn)	100 (344 conn)	100 (156 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 (1 findings)	3 (1 findings)	2 (1 findings)

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