Thinking·OS

Graph explorer

Explore the knowledge graph

Algorithm is a Sequence. Activate to inspect this relation.Array data structure is a Data structure. Activate to inspect this relation.Critical path applies to Graph data structure. Activate to inspect this relation.Data compression depends on Algorithm. Activate to inspect this relation.Connectivity applies to Graph data structure. Activate to inspect this relation.Graph data structure is a Data structure. Activate to inspect this relation.Edge is part of Graph data structure. Activate to inspect this relation.Greedy algorithm is a Algorithm. Activate to inspect this relation.Hash function is a Computer program. Activate to inspect this relation.Hash table depends on Hash function. Activate to inspect this relation.Hash table is a Data structure. Activate to inspect this relation.Linked list is a Data structure. Activate to inspect this relation.Machine learning is a Algorithm. Activate to inspect this relation.Queue is a Data structure. Activate to inspect this relation.Search algorithm is a Algorithm. Activate to inspect this relation.Shortest path applies to Graph data structure. Activate to inspect this relation.Sorting algorithm applies to Array data structure. Activate to inspect this relation.Sorting algorithm is a Algorithm. Activate to inspect this relation.Stack is a Data structure. Activate to inspect this relation.Tree is a Data structure. Activate to inspect this relation.Vertex is part of Graph data structure. Activate to inspect this relation.Linked listData structureArray data structureGraph data structureStackTreeQueueHash tableSorting algorithmCritical pathConnectivityEdgeShortest pathVertexHash functionAlgorithmComputer programSequenceMachine learningGreedy algorithmSearch algorithmData compression
Relationship types

143 concepts viewed through this lens. Bridge concepts connect this view to Anthropology, Audio Engineering, Biochemistry, Bioinformatics….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • 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
22 concepts21 relationships19 disciplines3 relation families

Linked list

Open concept →

At a glance

In computer science, a linked list is a linear collection of data elements whose order is not given by their physical placement in memory.

Disciplines
Computer Science · Data Structures
Role in the graph
Leaf concept
Relationships
1 · 1 relation families

What am I looking at?

In this lens (143)

Bridge concepts (162)

Just outside the lens — they connect it to other context.

  • Complexity Class NP3
    Computational Complexity · connects to Class P, NP-completeness, P versus NP
  • DNA3
    Biochemistry, Bioinformatics, Cell Biology, Evolutionary Biology, Genetics, Molecular Biology · connects to Algorithm, Encoding, Sequence
  • Network3
    Anthropology, Discrete Mathematics, Linear Algebra, Mathematics, Network Science, Sociology, Urban Planning · connects to Client-server model, Communication protocol, Latency
  • Optimization3
    Business, Economics, Engineering, Mathematical Modelling, Optimization, Systems Engineering · connects to Gradient descent, Machine learning, NP-complete
  • Pattern3
    Biology, Cognitive Science, Design, Education, Educational Science, Machine Learning, Mathematics · connects to Hierarchy, Machine learning, Sequence

Insights from this view

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

  • This view connects 19 disciplines: Algorithms, Artificial Intelligence, Bioinformatics, Computer Science, Data Structures, Discrete Mathematics, Graph Theory, History, Information Theory, Logic, Machine Learning, Management, Mathematics, Molecular Biology, Optimization, Project Management, Software Engineering, Statistics, Theory of Computation.
  • Linked list is a bridge concept — viewed here through Computer Science, Data Structures.
  • The connections here span 3 relation families.
  • Information explains 4 concepts in this view (Algorithms, Artificial Intelligence, Bioinformatics, Computer Science, Data Structures, Discrete Mathematics, History, Information Theory, Logic, Machine Learning, Mathematics, Molecular Biology, Software Engineering, Statistics, Theory of Computation).

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

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

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.