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netseg  

Measures of Network Segregation and Homophily
View on CRAN: Click here


Download and install netseg package within the R console
Install from CRAN:
install.packages("netseg")

Install from Github:
library("remotes")
install_github("cran/netseg")

Install by package version:
library("remotes")
install_version("netseg", "1.0-3")



Attach the package and use:
library("netseg")
Maintained by
Michal Bojanowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2025-04-14
Description:
Segregation is a network-level property such that edges between predefined groups of vertices are relatively less likely. Network homophily is a individual-level tendency to form relations with people who are similar on some attribute (e.g. gender, music taste, social status, etc.). In general homophily leads to segregation, but segregation might arise without homophily. This package implements descriptive indices measuring homophily/segregation. It is a computational companion to Bojanowski & Corten (2014) .
How to cite:
Michal Bojanowski (2021). netseg: Measures of Network Segregation and Homophily. R package version 1.0-3, https://cran.r-project.org/web/packages/netseg. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0-0 (2021-02-17 09:50), 1.0-1 (2022-08-25 14:10), 1.0-2 (2023-07-01 09:40)
Other packages that cited netseg R package
View netseg citation profile
Other R packages that netseg depends, imports, suggests or enhances
Complete documentation for netseg
Functions, R codes and Examples using the netseg R package
Some associated functions: Catania . Classroom . EF3 . WhiteKinship . assort . coleman . ei . fold . freeman . gamix . group_sizes . mixingm . netseg-package . orwg . smi . ssi . symmetrize . 
Some associated R codes: Catania.R . Classroom.R . EF3.R . WhiteKinship.R . assort.R . coleman.R . ei.R . fold.R . freeman.R . gamix.R . group_sizes.R . mixingm.R . netseg-package.R . orwg.R . smi.R . ssi.R . symmetrize.R .  Full netseg package functions and examples
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