Process / pipelineSociologyEgocentric network measurementPipeline

Name Generator Method

Also known as: name generator, name interpreter, egocentric network survey, personal network name generator

OriginatorSurvey network methodology; Ronald Burt (GSS module)Year1984 (GSS network module)Sources2Related methods6

The name generator is the standard survey technique for collecting egocentric (personal) network data. A respondent (ego) is prompted to name the people (alters) with whom they have a specified kind of relationship — those with whom they discuss important matters, exchange support, or socialize. A follow-up battery of name-interpreter questions then records each alter's attributes and the ties among the alters, yielding measures of network size, composition, density, and diversity for each respondent.

Key highlights

  • Embeds personal-network measurement in ordinary surveys of representative populations.
  • Yields rich data: alter attributes, ego–alter relations, and alter–alter structure.
  • Supports a wide range of measures — size, composition, density, heterogeneity, constraint.
  • Decades of methodological study give well-understood validity and reliability properties.

Intuition

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How it works

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When to use it

Use the name generator when you want personal-network data for a sample of individuals — composition, diversity, density, support, social capital — embedded in a standard survey, without needing a bounded whole network. It is the dominant method for studying social support, isolation, and ego-network structure in representative populations. It captures ego's perspective on a defined tie type and is subject to recall, naming, and interviewer effects; it does not yield a complete sociometric network and limits the number of alters for feasibility. When the goal is accessed resources rather than named ties, use the position or resource generator.

Strengths & limitations

Strengths
  • Embeds personal-network measurement in ordinary surveys of representative populations.
  • Yields rich data: alter attributes, ego–alter relations, and alter–alter structure.
  • Supports a wide range of measures — size, composition, density, heterogeneity, constraint.
  • Decades of methodological study give well-understood validity and reliability properties.
Limitations
  • Captures only the slice of network defined by the generator wording; different prompts yield different networks.
  • Subject to recall bias, satisficing, and interviewer effects that especially distort measured network size.
  • The number of alters is usually capped for feasibility, truncating large networks.
  • Relies on ego's report of alter attributes and alter–alter ties, which may be inaccurate.

Common pitfalls

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Applications

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Frequently asked

What is the difference between a name generator and a name interpreter?

The name generator is the question that elicits the alters (the names) — for example, 'with whom do you discuss important matters?' The name interpreter is the follow-up battery that, for each named alter, asks about their attributes and their relationships with ego and with the other alters. Together they turn a list of names into analyzable network data.

Why does the choice of name generator matter so much?

Each generator taps a different relational criterion — confiding, supporting, socializing, role relations — and therefore elicits a different subset of the personal network. An 'important matters' prompt captures close confidants; an exchange prompt captures instrumental ties. Measures of size, composition, and density are not comparable across studies that used different generators.

Should I use a name generator or a position generator?

Use a name generator when you want the composition and structure of someone's actual personal ties (who they are connected to and how those people relate). Use a position generator when you want to measure accessed social capital — the range and height of resources reachable through contacts — economically and comparably, without naming individuals. They answer different questions and are often used together.

Sources

  1. 1.
    Burt, R. S. (1984). Network items and the General Social Survey. Social Networks, 6(4), 293–339.
  2. 2.
    Marsden, P. V. (2003). Interviewer effects in measuring network size using a single name generator. Social Networks, 25(1), 1–16.

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Cite this page

ScholarGate. (2026, June 22). Name Generator Method. ScholarGate. https://scholargate.app/sociology/name-generator-method