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Blaunet (version 3.0.0)

Calculate and Analyze Blau Statuses for Measuring Social Distance

Description

Calculate and analyze Blau statuses for quantifying social distance between individuals belonging to organizations. Relational (network) data can be incorporated for additional analyses. The methods build on affiliation ecology and Blau space as described by McPherson (1983) , McPherson and Ranger-Moore (1991) , McPherson, Popielarz and Drobnic (1992) , McPherson and Rotolo (1996) , and McPherson (2004) . The implementation of Blau-space analyses in 'Blaunet' is described by Genkin et al. (2018) . This project is supported by the Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.

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Version

Install

install.packages('Blaunet')

Monthly Downloads

171

Version

3.0.0

License

GPL-3

Maintainer

Cheng Wang

Last Published

September 28th, 2026

Functions in Blaunet (3.0.0)

TwoCities

Example social capital dataset
export.dyadic

Outputs Dyadic-Level Measures
active

Quick summary of blau object.
blaunetgui

Run Blau status analysis in graphic user interface (GUI).
ecology.summary

Summarizes the distribution of individuals across niches.
blau

Converts raw data into an object for Blau status analysis
export.nodal

Outputs all node-level measures computed by the user
dyadic

Computes dyadic Blau status measures.
niche.summary

Summarizes information on each membership organization
niches

Locate individuals in organizational niches in Blau space
nodal.global

Compute Blau statues for individuals across all niches
nodal.network

Computes nodal spanners
nodal.local

Computes Blau statuses for individuals with respect to a primary membership
Blaunet-package

Calculate and Analyze Blau statuses for Measuring Social Distance
BSANet

Example dataset for relational measures.
gss74_87

Example attribute dataset from General Social Survey (GSS).
schlnet

Example network dataset simulated based on the attribute dataset from Add Health.
schlattr

Example attribute dataset from Add Health.