Structural cluster comparison · MOSAIC

Cluster comparison

Side-by-side view of MOSAIC'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	MOSAIC this entity	Hanmi Semiconductor 99.9% similarity	Stephen Miller 99.9% similarity	Matt Danzeisen 99.8% similarity
Documentation Density	93 (283 facts)	99 (392 facts)	100 (703 facts)	84 (165 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	68 (193/283)	70 (275/392)	80 (559/703)	61 (101/165)
Network Centrality	59 (15 conn)	68 (23 conn)	67 (22 conn)	62 (17 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	1 (1 findings)	1 (1 findings)	1 (2 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.