R Observatory: Metrics for signnet version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

signnet

1.1.0Package record

Methods to Analyse Signed Networks

0packages depend

5Kdownloads / year

86.8%test coverage

13/13flavors OK

Overview

About

Maintained by David SchochCRAN page ↗GitHub ↗Website ↗Issues ↗

Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) doi:10.1037/h0046049, blockmodeling algorithms from Doreian (2008) doi:10.1016/j.socnet.2008.03.005, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) doi:10.1080/0022250X.2019.1711376.

Changes in 1.1.0

This release fixes a number of bugs, rewrites the blockmodeling algorithms and speeds up several functions considerably. Results of signed_blockmodel() and signed_blockmodel_general() differ from earlier versions (see below).

Bug fixes

as_adj_complex() now respects the attr argument and works with named vertices. This also fixes laplacian_matrix_complex(), as_incidence_complex() and complex_walks() for attributes other than "type".
laplacian_matrix_signed(sparse = TRUE) no longer errors. Normalized Laplacians (signed and complex) no longer return NaN for isolated vertices.
sample_islands_signed() always returns islands.n * islands.size vertices (previously failed when the highest-numbered vertices had no edges).
balance_score(method = "walk") no longer overflows to NaN on dense networks. balance_score(method = "triangles") returns NA for networks without triangles.
triad_census_signed() returns the census in canonical order.
eigen_centrality_signed() returns a real vector for directed networks (or errors if the dominant eigenvalue is complex).
ggblock() colors ties correctly if only one sign is present. ggsigned(type = "complex") now uses attr for edge colors and no longer overwrites the type attribute.
as_signed_proj() handles vertex names containing "-", "pos" or "neg".
complex_walks() validates k.
signed_blockmodel_general() returned a membership that did not match the reported criterion, and a wrong (even negative) criterion for alpha != 0.5. The meaning of alpha now matches signed_blockmodel().

Show all changes in 1.1.0Hide the rest of the changes in 1.1.0

signed_blockmodel(annealing = FALSE) no longer returns the random initial partition for networks with large blocks, and it always takes the best improving move.
signed_blockmodel() and signed_blockmodel_general() validate k, alpha and blockmat (square, symmetric for undirected networks).

Maintenance

Signed adjacency and incidence matrices are built internally instead of using the deprecated attr argument of igraph. Values of multiple edges are still summed.
Shared input validation. Errors no longer include the internal call.
Triad census lookup tables moved from the R source to internal data (data-raw/triad_tables.R).
Removed unused C++ code and added src/Makevars.
sample_gnp_signed() and sample_bipartite_signed() validate p_neg.
Added examples for ggblock(), ggsigned() and frustration_exact().
Requires R >= 3.5.

Performance

count_signed_triangles(), signed_triangles() and count_complex_triangles() are vectorized (several hundred times faster on networks with many triangles).
as_incidence_complex() and degree_signed() are vectorized and use sparse matrices. complex_walks() is about twice as fast.
graph_circular_signed() computes arc lengths directly from the sampled angles, which also avoids NaNs from rounding errors.
Both blockmodeling functions share a new C++ implementation (greedy local search and simulated annealing) that no longer copies the adjacency matrix for every move. signed_blockmodel(annealing = TRUE) no longer uses stats::optim() and is about 25x faster.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("signnet", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("schochastics/signnet")

Development version from schochastics/signnet. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-signnet

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-signnet

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-signnet

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.7 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-10-15
NOTE11 OK, 2 NOTE2026-07-16
OK13 OK2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE13 OK, 1 NOTE2026-04-22
ERROR12 OK, 1 NOTE, 1 ERROR2026-04-18
NOTE13 OK, 1 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 575 wordsVignettesYes · 6 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 33
Examples that run: 100%24 run in a plain check (3 of them under a condition)
Exported functions with examples: 80%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 27%

Vignettes (6)

How these are measured

Downloads

5K

CRAN downloads in the past year

Rank #5,956 · ~14/day · ~417/mo

Releases R versions

Daily download trend is not available in this view yet.

64630 days

1.4K90 days

5K1 year

Compare downloads with other packages →

Also on397 r2u5 autocran

How downloads are counted

Repository

schochastics/signnet ↗Account: schochastics

23Stars

7Forks

1Open issues

0Open PRs

7Releases

177Commits

3Commit identities

snanetwork-analysissigned-networks

177 commits · Last activity 2026-10-01

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 0

PRs over time

2026-07-11 · 02026-10-01 · 0

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/schochastics/signnet on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

Code of conductContributing guide

Docs source (5)

README.RmdpkgdownQuarto project

GitHub Pages site last deployed 2026-10-01 · The repository has a site deploy workflow

pkgdown site last built 2026-10-01

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 4 practices

Reproducibility and dev environment (2)

data-raw/Binder

CRAN release process (1)

cran-comments.md

Research and citation (1)

CITATION.cff

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-09-30
Pull request it wrote: opened by a project member
Commits: at least 7 crediting it in the message

Models named in its commits

Claude Opus 5.57 commits · Sep to Oct 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing signnet adds 11 packages (8 with compiled code, 11 MB of source tarballs). Heaviest: igraph 4.8 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.5

Imports (3)

igraphMatrixRcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (10)

covr ggplot2 ggraph knitr ompr ompr.roi rmarkdown ROI ROI.plugin.glpk testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

David Schoch

Author, Maintainer since 0.5.0 (2020)

Releases (17)

Pick two releases to compare their code metrics.

1.1.0Latest
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2026-10-01 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.6
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2025-11-06 · diff ↗
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R 4.5.0 released · 2025-04-11
1.0.5
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2025-02-05 · diff ↗
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R 4.4.0 released · 2024-04-24
1.0.4
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2024-01-08 · diff ↗
1.0.3
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2023-12-15 · diff ↗
1.0.2
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2023-09-08 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.1
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2023-01-27 · diff ↗
1.0.0
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2022-12-22 · diff ↗ ·
removed 1 export
laplacian_angle

added 5 exports
graph_from_adjacency_matrix_signed, graph_from_edgelist_signed, is_signed, sample_bipartite_signed, sample_gnp_signed
0.8.1
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2022-10-18 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.8.0
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2022-02-13 · diff ↗ ·
added 1 export
frustration_exact
R
R 4.1.0 released · 2021-05-18

Show 9 earlier eventsHide 9 earlier events

0.7.1
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2021-04-28 · diff ↗
0.7.0
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2020-10-21 · diff ↗ ·
added 1 export
triad_census_signed
0.6.0
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2020-08-13 · diff ↗
0.5.3
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2020-06-30 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.5.2
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2020-03-04 · diff ↗
0.5.1
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2020-02-04 · diff ↗
0.5.0
record
2020-01-24
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-01-24
Total releases: 17 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 168 KB / 3 files
Download size: 1.0 MB

Appears in task views

Network Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("signnet")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21105/joss.04987.

The repository also keeps a CITATION.cff.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for signnet version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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