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Pseudo-GDS Graph Analytics โ€” Designation-Candidate Subgraph

Date: 2026-04-18 Scope: The 40 unsanctioned candidates from zakupki_graph_analysis.json:q3_two_hop_unsanctioned.top_40 (the highest 2-hop-SDN-reachable non-sanctioned INNs in the graph) plus their 1-hop Organization/CourtCase/Contract neighborhood. Method: Pure Cypher, no GDS/APOC plugins. Three analytics:

  1. Jaccard similarity across the procurement/litigation neighbor sets
  2. Triangle-count centrality โ€” closed triangles passing through each candidate
  3. Structural bridge detection โ€” unsanctioned candidates through which pairs of SDN organizations connect with no direct A-B edge

Artifacts: pipeline/graph_community_analysis.py, pipeline/data/graph_community_analysis.json

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This brief's evidentiary detail, specific targets, and designation recommendations are available to subscribing compliance teams, law firms, and government analysts. The teaser above shows the headline methodology; the full document includes case-number citations, target INNs, SDN-adjacency numbers, and recommended secondary-designation scope.

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