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In graph Frontier
MicrobiologyEstablished

Quorum sensing

Bacteria releasing and detecting signal molecules to sense their own density and act collectively.

At a glance

Type
information
Disciplines 1
Mental models 1
Role in the graph
Cross-disciplinary bridge
reaches 2 discipline lenses

Key signals

Cross-disciplinary reach
Disciplines
1
  • Microbiology
Evidence & development

Dependencies

What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.

Enables · leads to

Quorum sensingenablesBiofilmEstablished

Open Biofilm →

quorum sensing enables biofilm.

Mechanism: Quorum sensing coordinates biofilm formation and other group behaviours.

Sources:

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • 50% of its relationships cross field boundaries, reaching 2 other disciplines — unusual in a discipline where most concepts stay within their field.

    structural · Structural graph analysis — not a claim of importance, causation or history.

  • Directly enables 1 concept; following enables/causes relations, 2 concepts are downstream across 3 disciplines.

    structural · Follows only enables/causes dependency edges — not general relatedness.

  • Currently dark in the atlas: no key date stored · 2 of 2 of its relations lack claim-level evidence.

    atlas representation · Describes the current Thinking OS representation, not the state of the world.

  • Structural neighbourhood: 2 → 22 → 57 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

50%

cross-field
1 within-field, 1 cross-field

0 of 2 relations carry evidence · concept has a verified source

Strengths & constraints

Strengths

  • Cross-disciplinary connector — 50% of its relationships cross field boundaries. structural

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
  • No dated history stored — the atlas records no key date for this concept. atlas representation

Conditions

  • Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural

Dependency radial

What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.

BiofilmQuorum sensing◀ builds onenables ▶

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

Microbiology

Through this lens it connects to Biofilm.

Quorum sensing through the Microbiology lens

Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.

This idea also appears in…

The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”

Feedback loop48 disciplines · 46 concepts
Atmospheric Science
Environmental Science
Evolutionary Biology
Mathematical Modelling
Sustainability Science
Audio Engineering
Biomedical Science
Cell Biology
Comparative Literature
Complexity Science
Cybernetics
Data Science
Ecological Economics
Game Theory
Human-Computer Interaction
Optimization
Robotics
Social Psychology
Systems Biology
Systems Engineering
See the pattern →

Concepts

  • Carbon cycleBiologyGeographyChemistry

    shares a mental model

  • ClimateGeographyPhysicsMeteorology

    shares a mental model

  • FeedbackSystems ScienceBiologyEngineering

    shares a mental model

  • Population growthEcologyBiologySociology

    shares a mental model

  • SystemSystems ScienceBiologyEngineering

    shares a mental model

  • Carrying capacityBiologyEcologyDemography

    shares a mental model

Mental models at work here

The scientific picture
  • Connects 2 other ideas across 1 discipline.
  • A cross-disciplinary bridge — its connections reach into 2 other fields.
  • Most of its connections are of the “Cause & effect” kind.
  • It exercises 1 reusable thinking pattern.

Derived from the graph’s real structure — observations, not a score.

Sources