Identity Graph
1 min read
Pronunciation
[ahy-den-ti-tee graf]
Analogy
Like a family tree that shows connections between relatives, but for digital identities and their claims.
Definition
A graph database linking identities, credentials, attributes, and interactions to build a holistic view of entity relationships and trust paths.
Key Points Intro
Identity graphs connect disparate identity data for richer context and analytics.
Key Points
Nodes: Represent DIDs, credentials, service endpoints.
Edges: Represent relationships, attestations, transactions.
Queryable: Supports graph queries for trust evaluation.
Privacy: Controls for sensitive link visibility.
Example
A reputation system queries the identity graph to trace a user’s past attestations, endorsements, and on‑chain actions before granting access.
Technical Deep Dive
Graph stored in Neo4j or Dgraph; import events from DID registry and credential ledger. Cypher queries evaluate paths, compute centrality scores, and detect Sybil clusters.
Security Warning
Graph correlation can deanonymize pseudonymous users; enforce differential privacy.
Caveat
Building and maintaining up‑to‑date graph is resource‑intensive.
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