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Explore the knowledge graph

Risk is analogous to Correlation. Activate to inspect this relation.Probability measures Correlation. Activate to inspect this relation.Risk depends on Probability. Activate to inspect this relation.Machine learning depends on Probability. Activate to inspect this relation.Quantum mechanics depends on Probability. Activate to inspect this relation.Probability distribution depends on Probability. Activate to inspect this relation.Combinatorics enables Probability. Activate to inspect this relation.Power Law applies to Probability. Activate to inspect this relation.Zipf's Law applies to Probability. Activate to inspect this relation.Matthew Effect applies to Probability. Activate to inspect this relation.Entropy depends on Probability. Activate to inspect this relation.Power Law applies to Network. Activate to inspect this relation.Zipf's Law is a Power Law. Activate to inspect this relation.Matthew Effect causes Power Law. Activate to inspect this relation.Self-organized criticality causes Power Law. Activate to inspect this relation.Power Law applies to Network topology. Activate to inspect this relation.Zipf's LawPower LawProbabilityNetworkMatthew EffectNetwork topologySelf-organized criticalityRiskCorrelationMachine learningQuantum mechanicsProbability distributionEntropyCombinatorics
Relationship types
Legend
  • Focused concept
  • Connected concept
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
14 concepts16 relationships27 disciplines6 relation families

At a glance

In many datasets an item's frequency is inversely proportional to its rank in the frequency table.

Disciplines
Decision Theory
Role in the graph
Cross-disciplinary bridge reaches Complexity Science, Mathematics, Probability, Statistics
Relationships
2 · 2 relation families

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 27 disciplines: Anthropology, Artificial Intelligence, Complexity Science, Computer Science, Data Science, Decision Theory, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Information Theory, Linear Algebra, Machine Learning, Mathematics, Medicine, Network Science, Physical Chemistry, Physics, Probability, Public Policy, Quantum Physics, Sociology, Statistical Physics, Statistics, Thermodynamics, Urban Planning.
  • Combinatorics is a bridge concept — viewed here through Discrete Mathematics, Mathematics.
  • The connections here span 6 relation families.
  • Probability explains 7 concepts in this view (Artificial Intelligence, Computer Science, Data Science, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Machine Learning, Mathematics, Medicine, Physics, Probability, Public Policy, Quantum Physics, Statistics).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

By thinking pattern

By journey

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.