electronicArtefacts Creative technology studio for complex digital systems

CONCEPT

Graph Modeling

Graph modeling represents a domain through addressable nodes, typed relationships and properties chosen to answer specific questions and support specific operations.

Graph modeling makes many-to-many relationships, paths, provenance and evolving context explicit where folders and rigid trees obscure them.

active research

EDITORIAL FRAME

What this entry establishes.

A concise view of its scope, position, limitations and supporting sources.

Scope

Defined scope

  1. Nodes
  2. Typed relationships
  3. Properties
  4. Paths
  5. Constraints
  6. Temporal context

Position

Editorial position

  1. Graphs are strongest when relationships are first-class and many valid paths must coexist.
  2. Trees and folders remain useful projections even when the underlying model is a graph.

Limits

Explicit limits

  1. Turning every field into a node without a query or reuse requirement
  2. Assuming a graph database automatically produces a good domain model

Topics

Tags and disciplines

Graph ModelingNodesRelationsDomain ModelingKnowledge GraphKnowledge SystemsSystems DesignInformation ArchitectureSoftware Architecture

Definition

Graph modeling identifies the important entities in a domain and expresses meaningful connections between them. A model is judged by the questions it can answer, the constraints it can enforce and the changes it can absorb.

Graphs and folders

Folders impose a primary containment path. Graphs allow an artefact to relate simultaneously to a project, person, technique, source, place, rights record and publication. Folder views can still be generated as useful projections.

Electronic Artefacts position

VASTE uses graph modeling for runtime concerns, while the Knowledge Hub uses it for semantic publication. Vestiges applies the same discipline to cultural knowledge and human know-how.

Limitations

Graphs can become unreadable when relation types are vague or when weak associations are published indiscriminately. Modeling requires predicate governance, provenance and pruning.

References

See Knowledge Graph, Entity Identity, VASTE and Ontology.

DOCUMENTED RELATIONSHIPS

Connected work and ideas.

Each link names the relationship between two entries and why it matters.

evidence

Documented by

Why Graphs Are More Powerful Than Folders

Why Graphs Are More Powerful Than Folders documents graph modeling for connected domains.

Documented by

Deterministic Research: Deciding Without Turning Estimates into Truth

Deterministic Research: Deciding Without Turning Estimates into Truth documents Graph Modeling as one of its declared subjects.

Documented by

Systems Thinking for Creative Practice

Systems Thinking for Creative Practice documents Graph Modeling as one of its declared subjects.

implementation

Applied by

VASTE

VASTE applies graph modeling through addressable entities and typed relationships.

Applied by

Vestiges

Vestiges applies graph modeling to cultural knowledge and human know-how.

structure

Member of collection

Knowledge Hub Third Wave

Graph Modeling is an explicit member of the Knowledge Hub Third Wave collection.

Record details Metadata, sharing and citation

Reference

Cite this page

Graph Modeling. 1.0.0. Electronic Artefacts, 2026-06-24. https://electronicartefacts.com/knowledge/concepts/graph-modeling/

Canonical URL

Related context

Nearby relationships

6 public links connect this page to nearby projects, concepts and references.