Five fundamental patterns for understanding and modeling complex systems.
| Archetype | Description | Examples |
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Associative
Free-Form Ideation
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Dynamic, exploratory networks where nodes and edges emerge organically during ideation. Nodes represent concepts, ideas, or entities. Edges capture relationships that are discovered, not predetermined—"suggests," "conflicts with," "validates," "combines with." Used for brainstorming, creative problem-solving, and mapping emergent patterns. |
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📊
Hierarchical
Context & Containment
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Defines ownership, scope, and reporting structures through parent-child relationships. Container nodes establish boundaries and context. Used to represent organizational charts, taxonomies, bill of materials, and scoping relationships. The fundamental "who owns what" and "what contains what" pattern. |
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→
Flow
Sequence & Movement
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Captures movement of value, data, or materials through time and space. Edges define hand-offs, triggers, and sequences. Nodes are stages, stations, or transformation points. Used for process mapping, value streams, data pipelines, and operational workflows. Emphasizes "what happens next" and triggers. |
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🔒
Dependency
Logic & Prerequisites
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Defines gating logic, prerequisites, and conditions for execution. Edges represent "requires," "depends on," "blocks," or "enables." Used for project planning, compliance frameworks, technical dependencies, and decision trees. Answers "what must be true before X can happen?" |
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🌐
Ecosystem
Environment & Actors
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Maps external influences, stakeholders, and actors surrounding a central entity. Nodes are players, forces, or environmental factors. Edges capture influence, competition, partnership, or impact. Used for competitive analysis, stakeholder mapping, and understanding the broader context in which something operates. |
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Clarity: Archetypes provide a shared vocabulary for describing network structure and purpose, reducing ambiguity in complex system modeling.
Composition: Most real-world systems combine multiple archetypes. An organization (hierarchical) has workflows (flow), dependencies between teams (dependency), and operates in a competitive environment (ecosystem).
Evolution: Networks can shift archetypes as they mature. An associative brainstorm may crystallize into a hierarchical structure, which then reveals dependencies and flows.
Explore complex systems through interactive network visualizations.