The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

netseg: Measures of Network Segregation and Homophily

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) <doi:10.1016/j.socnet.2014.04.001>.

Version: 1.0-2
Depends: R (≥ 2.10)
Imports: igraph (≥ 0.6-0)
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, scales
Published: 2023-07-01
DOI: 10.32614/CRAN.package.netseg
Author: Michal Bojanowski ORCID iD [aut, cre]
Maintainer: Michal Bojanowski <michal2992 at gmail.com>
BugReports: https://github.com/mbojan/netseg/issues
License: GPL-2
URL: https://mbojan.github.io/netseg/
NeedsCompilation: no
Citation: netseg citation info
Materials: README NEWS
CRAN checks: netseg results

Documentation:

Reference manual: netseg.pdf
Vignettes: Network Segregation and Homophily

Downloads:

Package source: netseg_1.0-2.tar.gz
Windows binaries: r-devel: netseg_1.0-2.zip, r-release: netseg_1.0-2.zip, r-oldrel: netseg_1.0-2.zip
macOS binaries: r-release (arm64): netseg_1.0-2.tgz, r-oldrel (arm64): netseg_1.0-2.tgz, r-release (x86_64): netseg_1.0-2.tgz, r-oldrel (x86_64): netseg_1.0-2.tgz
Old sources: netseg archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=netseg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.