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Bilateral Antitrust Radar evidence routeTwo canonical nodes connect through separately colored declared relationship edges and common evidence nodes.Profile ADeclared edgeCommon nodeDeclared edgeProfile B

Bilateral evidence profiles

Relationship studio

Compare two profiles through their documented relationships and shared records. An indirect connection is not evidence of a direct relationship.

Current declared route311 Food manufacturing3113 Sugar and confect...1 shortest paths / 1 common neighbors / 3 supporting edges
Comparable nodes5,478canonical nodes
Declared edges19,193auditable links
Relationship layers4kept separate
Inferred endpoint links0from path proximity
Route contractEvery line is declared. Multi-hop proximity never becomes a direct endpoint claim.Evidence standard

Bilateral query

Build an exact profile-to-profile route

Profile A / IndustriesFood manufacturingRevenue HHI / 97.4
4 profiles directly connected to 3113 Sugar and confect...
Profile B / IndustriesSugar and confectionery product manufacturingRevenue HHI / 390.4
10 profiles directly connected to 311 Food manufacturing
Relationship familyAll declared linksEvery encoded relationship family
Declared route sets

Declared bilateral profile

311 Food manufacturing 3113 Sugar and confect...

All declared links / 1 hop
Shortest route
1declared hop
Shortest paths
1deterministic routes
Common neighbors
1exact intersections
Packet edges
31 cited sources
Relationship diagnosisWhat the selected graph can and cannot establish
Connection classDirect declaration1 endpoint edge
Neighborhood overlap7.7%1 shared across 13 unique adjacent profiles
Selected-layer degree11 vs 56 neighbor difference
Supporting evidence1 cited source3 exact packet edges
high3medium0bounded0low0
Profile A / IndustriesFood manufacturing24.9K firms / 1T revenue
Revenue HHI
97.4
Selected-layer neighbors
11
Total neighbors
11
Latest year
2022
Connection fingerprint
Measurement11
Organization0
Enforcement0
Research0
Industries10Sources1
Open canonical profile
Declared routes from Food manufacturing to Sugar and confectionery product manufacturingThe primary shortest path is centered. Additional exact common neighbors appear above or below it. Every line is a declared edge and does not imply a direct endpoint relationship.U.S. Census Bureau2022 Economic Census Concentration of Largest Firms: exact common neighbor311 Food manufacturingIndustriesFood manufacturing: Revenue HHI 97.43113 Sugar and confec...IndustriesSugar and confectionery product manufacturing: Revenue HHI 390.4
MeasurementOrganizationEnforcementResearch
Profile B / IndustriesSugar and confectionery product manufacturing1.8K firms / 42.1B revenue
Revenue HHI
390.4
Selected-layer neighbors
5
Total neighbors
5
Latest year
2022
Connection fingerprint
Measurement5
Organization0
Enforcement0
Research0
Industries4Sources1
Open canonical profile

Supporting edge ledger

Every bridge remains an inspectable declaration

3 exact edges support the shortest paths and common-neighbor intersections in this layer.

MeasurementNAICS parent classificationindustry hierarchy

Sugar and confectionery product manufacturing (NAICS 3113) is classified under Food manufacturing (NAICS 311) in the 2022 NAICS hierarchy.

2022 NAICS hierarchyhighSource
MeasurementEconomic Census sourceindustry source

2022 Economic Census Concentration of Largest Firms supplies the 2022 employer-firm concentration screen for NAICS 311.

MeasurementEconomic Census sourceindustry source

2022 Economic Census Concentration of Largest Firms supplies the 2022 employer-firm concentration screen for NAICS 3113.

Bilateral graph contract

A route is not a finding about its endpoints

Each hop keeps its own evidence label, confidence, source custody, and edge-specific limitation.

A bilateral atlas route preserves a sequence of declared edges for navigation and audit. A direct edge, common neighbor, or multi-hop path does not make the endpoints equivalent, establish ownership or control, assign liability, define an antitrust market, make unlike measures comparable, or show causation.

Reusable bilateral packet

Carry the exact route into analysis

JSON preserves endpoints, shortest paths, common neighbors, nodes, and edge metadata. CSV flattens the complete supporting ledger.

Atlas Relationship Studio | Antitrust Radar