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In graph Frontier

Phylogenetics

In biology, phylogenetics is the study of the evolutionary history of life using observable characteristics of organisms, which is known as phylogenetic inference.

At a glance

Type
networks
Mental models 1
Role in the graph
Leaf concept

Key signals

Cross-disciplinary reach
Disciplines
2
  • Biology
  • Evolutionary Biology
Evidence & development

Structural role & consequence

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

  • Currently dark in the atlas: no key date stored · 1 of 1 of its relations lack claim-level evidence.

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

  • Structural neighbourhood: 1 → 2 → 20 concepts reachable within 3 hops.

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

  • All 1 of its relationships stay within its own discipline — a field-specific concept in the current atlas.

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

0%

cross-field
1 within-field, 0 cross-field

0 of 1 relations carry evidence · concept has a verified source

Strengths & constraints

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

Seen through each discipline

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

Biology

Through this lens it connects to Common descent.

Phylogenetics through the Biology lens

Evolutionary Biology

Through this lens it connects to Common descent.

Phylogenetics through the Evolutionary Biology 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?”

Networks50 disciplines · 37 concepts
Environmental Science
Discrete Mathematics
Educational Science
Network Science
Urban Planning
Agriculture
Anthropology
Biophysics
Business
Design
Earth & Space Sciences
Electrical Engineering
Environmental Engineering
Epidemiology
Forestry
Geography
Linear Algebra
Linguistics
Literature
Logistics
Management
Organic Chemistry
Philosophy
Political Economy
Political Science
Polymer Chemistry
Statistical Physics
Supply Chain Management
Sustainability Science
Systems Biology
Veterinary Medicine
See the pattern →

Concepts

  • Supply chainEconomicsManagementEngineering

    shares a mental model

  • DiffusionPhysicsChemistrySociology

    shares a mental model

  • NetworkNetwork ScienceMathematicsSociology

    shares a mental model

  • AnalogyCognitive ScienceLinguisticsPhilosophy

    shares a mental model

  • PatternMathematicsCognitive ScienceDesign

    shares a mental model

  • Food webEcologySystems BiologyEnvironmental Science

    shares a mental model

Mental models at work here

The scientific picture
  • Connects 1 other ideas across 2 disciplines.
  • Most of its connections are of the “Explains & models” kind.
  • It exercises 1 reusable thinking pattern.

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

Sources