Structural cluster comparison · Pat Harrigan

Cluster comparison

Side-by-side view of Pat Harrigan'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	Pat Harrigan this entity	Troy E. Nehls 100.0% similarity	John H. Rutherford 99.9% similarity	Sarah McBride 99.9% similarity
Documentation Density	73 (83 facts)	71 (75 facts)	70 (71 facts)	68 (61 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	48 (40/83)	48 (36/75)	54 (38/71)	48 (29/61)
Network Centrality	88 (58 conn)	88 (57 conn)	91 (66 conn)	93 (72 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	7 (2 findings)	4 (1 findings)	8 (2 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.