Structural cluster comparison · Jennifer A. Kiggans

Cluster comparison

Side-by-side view of Jennifer A. Kiggans'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
Jennifer A. Kiggans
this entity
99.0% similarity
98.0% similarity
96.5% similarity
Documentation Density 72 (77 facts)70 (69 facts)89 (216 facts)68 (60 facts)
Conduct Contradiction 100 (1/1)100 (1/1)100 (1/1)100 (1/1)
Inferential Dependency 52 (40/77)28 (19/69)21 (46/216)7 (4/60)
Network Centrality 100 (183 conn)100 (173 conn)100 (145 conn)100 (231 conn)
Capital Flow Asymmetry 50 ($0.0M in)50 ($0.0M in)50 ($0.0M in)50 ($0.0M in)
Structural Density 8 (2 findings)13 (3 findings)3 (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.