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https://doi.org/10.3386/w0044...
Report
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https://doi.org/10.3386/w0044...
Report . 1974
Data sources: Crossref
https://dx.doi.org/10.3386/w00...
Other literature type
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The Statistical Analysis of Local Structure in Social Networks

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 01 Jun 1974Publisher:National Bureau of Economic Research
Authors: Paul Holland; Samuel Leinhardt;

doi: 10.3386/w0044

The Statistical Analysis of Local Structure in Social Networks

Abstract

We introduce the concept of a triad census of a digraph arid show how it can be used to enumerate various types of subgraph configurations. We give the basic probabilities needed for computing means and variances for a triad census under the U-MAN distribution for digraphs. These concepts are combined to provide a way of testing propositions about social structure using sociometric data. An application to 408 sociograms is given.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Average
bronze