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Publication (Zenodo)
Published on Zenodo
20 January 2025
From Talent Pools to Talent Graphs: Rethinking Discoverability in Closed Consultant Networks
Closed consultant networks cannot rely on open marketplace search. Talent pools flatten relationships; talent graphs preserve context — who worked with whom, on what skills, under which constraints. This publication compares SQL search vs. graph traversal for niche staffing requests and outlines privacy-preserving integration patterns for HR tech platforms.
Key takeaways
- •Linear talent pools break down for multi-skill, relationship-aware searches.
- •Graph models encode engagements, referrals, and skill adjacency without exposing raw PII.
- •Hybrid vector + graph search outperformed legacy SQL on complex shortlists (3× faster in production pilot).
- •Privacy rules belong in the query layer, not as after-the-fact filters.
Abstract
Explores how traditional talent discovery breaks down in closed consultant ecosystems and presents a graph-based model for discoverability, contextuality, and matching — comparing linear queries with graph-enabled search, plus privacy and integration considerations for staffing and HR tech platforms.