Dunbar Layer Size Lookup

Bounded offline reference: Dunbar-associated social-network layers are often described near5,15,50,150with larger layers, as approximate research patterns. Source: Dunbar, social brain/social network layer research. Not a universal personal capacity or required relationship quota. Only explicit topic keys supported: inner, sympathy, affinity, active, limitations. No complete external corpus, live data or personal assessment implied.

Description

Dunbar layer references describe approximate nested social-network sizes under particular measurement conventions.

Dunbar layer references describe approximate nested social-network sizes under particular measurement conventions.1

They do not establish a fixed social capacity for every individual.

When to use Dunbar Layer Size Lookup

Use this tool to read a bounded explanation for an exact reference topic. Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.

How to use Dunbar Layer Size Lookup and understand its results

  1. Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.
  2. Enter topic, using the field meanings and rules below, then run the tool.
  3. Read result.text for the exact topic token. Consult the limitations entry where available before applying the reference to your actual context.
  4. Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
Input fieldMeaningValue typeRequirement
topicTopicstringRequired

Choose one exact topic token from the table. The implementation looks up the stored value and returns it in the documented output field. Matching is case-sensitive; unrecognized tokens fail. This is an offline bounded reference, not a live catalogue or independent attribution.

Topic tokenStored value
innerAn approximate5-person close/support layer is commonly discussed.
sympathyAn approximate15-person sympathy layer is commonly discussed.
affinityAn approximate50-person affinity layer is commonly discussed.
activeAn approximate150-person active network is commonly discussed.
limitationsLayer boundaries, measurement and population vary; do not diagnose social ability from counts.
value=referenceTable[exactToken]

Use the matching field units and the exact boundary, ordering and reference rules above.

Output fieldMeaningValue type
resultCalculated observation or qualified referenceobject
result.textStored explanation for the exact selected reference token.string
json
{
  "input": {
    "topic": "inner"
  },
  "output": {
    "result": {
      "text": "An approximate5-person close/support layer is commonly discussed."
    }
  }
}

Limitations and assumptions

Population definitions, survey design, calibration and observation coverage are independently established. A result describes the supplied record or conditional model without demonstrating causation, validating an instrument or supplying representative population evidence. Layer boundaries, measurement and population vary; do not diagnose social ability from counts.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use Political Discussion Network Size Calculator: A discussion-network size counts distinct observed partners of a declared ego. For a complementary comparison, use Weak-Tie Strength Four-Point Scale Tool: Weak-tie strength requires declared observations and an operational definition of tie dimensions.

References

  1. Dunbar Layer Size Lookup — tool.io

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