netrics: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties

Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.

Version: 0.2.0
Depends: R (≥ 3.6.0), manynet
Imports: dplyr, igraph (≥ 2.1.0)
Suggests: autograph, sna, testthat (≥ 3.0.0)
Published: 2026-03-26
DOI: 10.32614/CRAN.package.netrics (may not be active yet)
Author: James Hollway ORCID iD [cre, aut, ctb] (IHEID)
Maintainer: James Hollway <james.hollway at graduateinstitute.ch>
BugReports: https://github.com/stocnet/netrics/issues
License: MIT + file LICENSE
URL: https://stocnet.github.io/netrics/
NeedsCompilation: no
Language: en-GB
Materials: README, NEWS
CRAN checks: netrics results

Documentation:

Reference manual: netrics.html , netrics.pdf

Downloads:

Package source: netrics_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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