Thinking·OS

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Explore the knowledge graph

Agent-based model explains Emergence. Activate to inspect this relation.Agent-based model is a Social simulation. Activate to inspect this relation.Agent-based model models Complex adaptive system. Activate to inspect this relation.Agent-based model models Social contagion. Activate to inspect this relation.Algorithmic bias depends on Big data. Activate to inspect this relation.Community detection explains Homophily. Activate to inspect this relation.Computational social science applies to Data. Activate to inspect this relation.Computational social science applies to Network. Activate to inspect this relation.Digital field experiment measures Digital trace data. Activate to inspect this relation.Digital field experiment measures Social contagion. Activate to inspect this relation.Digital humanities is analogous to Computational social science. Activate to inspect this relation.Digital trace data is a Big data. Activate to inspect this relation.Homophily explains Social network analysis. Activate to inspect this relation.Network centrality is part of Social network analysis. Activate to inspect this relation.Sentiment analysis is part of Text as data. Activate to inspect this relation.Social contagion depends on Social network analysis. Activate to inspect this relation.Social network analysis enables Community detection. Activate to inspect this relation.Social network analysis requires Network centrality. Activate to inspect this relation.Social network analysis is part of Computational social science. Activate to inspect this relation.Text as data applies to Digital trace data. Activate to inspect this relation.Topic modeling is part of Text as data. Activate to inspect this relation.Topic modeling requires Big data. Activate to inspect this relation.Urban science is analogous to Computational social science. Activate to inspect this relation.Social simulationAgent-based modelEmergenceComplex adaptive systemSocial contagionSocial network analysisDigital field experimentCommunity detectionNetwork centralityComputational social scienceHomophilyDigital trace dataDataNetworkDigital humanitiesUrban scienceBig dataText as dataAlgorithmic biasTopic modelingSentiment analysis
Relationship types

15 concepts viewed through this lens. Bridge concepts connect this view to Anthropology, Biology, Complexity Science, Computer Science….

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
21 concepts23 relationships15 disciplines6 relation families

Social simulation

Open concept →

At a glance

The use of computer models to explore how social processes unfold under specified assumptions.

Disciplines
Computational Social Science
Role in the graph
Leaf concept
Relationships
1 · 1 relation families

What am I looking at?

In this lens (15)

Bridge concepts (6)

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

  • Complex adaptive system1
    Complexity Science · connects to Agent-based model
  • Data1
    Computer Science, Data Science · connects to Computational social science
  • Digital humanities1
    Computer Science, Digital Humanities · connects to Computational social science
  • Emergence1
    Biology, Complexity Science, Sociology · connects to Agent-based model
  • Network1
    Anthropology, Discrete Mathematics, Linear Algebra, Mathematics, Network Science, Sociology, Urban Planning · connects to Computational social science

Insights from this view

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

  • This view connects 15 disciplines: Anthropology, Biology, Complexity Science, Computational Social Science, Computer Science, Data Science, Digital Humanities, Discrete Mathematics, Geography, Linear Algebra, Mathematics, Network Science, Sociology, Urban Planning, Urban Science.
  • Agent-based model is a bridge concept — viewed here through Complexity Science, Computational Social Science.
  • The connections here span 6 relation families.

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.