NAICS Supply Chain Contagion Topology 2022-2026

This dataset maps supply chain contagion risks across NAICS industries from 2022 to 2026, enabling topology analysis of economic vulnerabilities. It supports research on industrial interdependencies and shock propagation.

Use Cases

• Modeling cascading failures across industrial sectors
• Identifying critical nodes in supply chain networks
• Simulating economic shock scenarios

Strengths

• Covers 2022-2026 period enabling longitudinal analysis
• Leverages authoritative NAICS classification framework
• Designed for topology-based contagion modeling

Limitations

• Requires understanding of NAICS code hierarchies
• May need supplementation with firm-level data for granular insights
• Update frequency not specified; may not reflect real-time disruptions

Provenance

Source

Bureau of Economic Analysis (BEA) or similar U.S. government agency

Collection Method

Aggregation of industry-level trade data combined with network analysis models

Time Range

2022 to 2026

Geography

Primarily United States, with global trade linkages considered