Package: backbone 3.0.4

backbone: Extracts the Backbone from Networks

An implementation of methods for extracting a sparse unweighted network (i.e. a backbone) from an unweighted network (e.g., Hamann et al., 2016 <doi:10.1007/s13278-016-0332-2>), a weighted network (e.g., Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), or a weighted projection (e.g., Neal et al., 2021 <doi:10.1038/s41598-021-03238-3>).

Authors:Zachary Neal [aut, cre], Rachel Domagalski [ctb], Bruce Sagan [ctb], Karl Godard [ctb]

backbone_3.0.4.tar.gz
backbone_3.0.4.zip(r-4.7)backbone_3.0.4.zip(r-4.6)backbone_3.0.4.zip(r-4.5)
backbone_3.0.4.tgz(r-4.6-x86_64)backbone_3.0.4.tgz(r-4.6-arm64)backbone_3.0.4.tgz(r-4.5-x86_64)backbone_3.0.4.tgz(r-4.5-arm64)
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backbone_3.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
backbone/json (API)

# Install 'backbone' in R:

install.packages('backbone', repos = c('https://zpneal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zpneal/backbone/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

senate108 - Bill sponsorship in the 108th U.S. Senate

On CRAN:

8.44 score 48 stars 2 packages 46 scripts 1.1k downloads 1 mentions 14 exports 12 dependencies

Last updated from:a6ef2804b3. Checks:12 OK, 1 ERROR. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel-arm64	OK	144
linux-devel-x86_64	OK	134
source / vignettes	OK	195
linux-release-arm64	OK	137
linux-release-x86_64	OK	132
macos-release-arm64	OK	121
macos-release-x86_64	OK	167
macos-oldrel-arm64	OK	133
macos-oldrel-x86_64	OK	201
windows-devel	OK	112
windows-release	ERROR	105
windows-oldrel	OK	105
wasm-release	OK	142

Exports:backbone backbone_from_projection backbone_from_unweighted backbone_from_weighted bicm disparity fastball fdsm fixedcol fixedfill fixedrow lans mlf sdsm

Dependencies:cli cpp11 glue igraph lattice lifecycle magrittr Matrix pkgconfig Rcpp rlang vctrs

Empirical Example of Backbone Extraction: The 108^th^ U.S. Senate

Table of Contents | Introduction | Data | Extracting from a weighted projection | Extracting from a weighted network | Extracting from an unweighted network | Lessons | References

Rendered fromsenate.Rmdusingknitr::rmarkdown

Last update: 2026-05-21
Started: 2025-09-17

Introduction to Backbone

Table of Contents | Introduction | Welcome | Installing and loading the package | Package overview | Supported data formats | tl;dr (the backbone() wrapper) | Weighted networks | Background | Structural models | Statistical models | Weighted projections | Background [@neal2014backbone] | Statistical models | Unweighted networks | Background | Structural models | Advanced functions | Backbone objects | Signed backbones | Custom backbones | Utility functions | Matrix randomization | Bipartite Configuration Model (BiCM) | References

Rendered frombackbone.Rmdusingknitr::rmarkdown

Last update: 2026-05-21
Started: 2020-05-19

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extract the backbone from a network	backbone
Extract the backbone from a weighted bipartite or hypgergraph projection	backbone_from_projection
Extract the backbone from an unweighted, undirected network	backbone_from_unweighted
Extract the backbone from a weighted network	backbone_from_weighted
Bipartite Configuration Model	bicm
Randomize a binary matrix using the fastball algorithm	fastball
Bill sponsorship in the 108th U.S. Senate	senate108

Usage by other packages (reverse dependencies)