Identification and Classification of the Most Influential Nodes
Overview
Provides functions for the identification, classification, and ranking of influential nodes and candidate features from network and omics data. The package implements the Integrated Value of Influence (IVI) for integrative network centrality analysis, the SIR-based Influence Ranking (SIRIR) model for unsupervised influence ranking, and the Experimental data-based Integrative Ranking (ExIR) model for prioritizing candidate driver, biomarker, and mediator features from experimental omics data. Functions are provided for network reconstruction from adjacency matrices and data frames, topological analysis, centrality calculation, assessment of associations between centrality measures, and conditional probability analysis. ExIR supports bulk and single-cell omics data, including matrices, sparse matrices, data frames, tibbles, and Seurat objects.
- Bundled apps work with current Shiny and igraph
- Debug
fcorfunction. - Debug
sirirfunction so that it works with character vector inputs as well.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-28
- NOTE12 OK, 1 NOTE2026-07-27
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 28 (3 internal)includes a package overview page
- Examples that run
- 0%22 never run
- Exported functions with examples
- 96%
- Documented parameters
- 100%
- Return-value docs
- 96%
- Help pages citing references
- 4%
Downloads
Repository
- 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
Stars over time
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7 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/asalavaty/influential on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows
GitHub Pages site last deployed 2026-10-07 · The repository has a site deploy workflow
pkgdown site last built 2026-10-07
Dependencies
Installing influential adds 53 packages (28 with compiled code, 49 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 2.3.3Latest
- 2.3.22026-08-23 · diff ↗
- 2.3.12026-05-28 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 2.3.02026-02-13 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.2.92023-12-09 · diff ↗
- 2.2.82023-11-19 · diff ↗
- 2.2.72023-05-16 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.2.6
- RR 4.2.0 released · 2022-04-22
- 2.2.52022-04-14 · diff ↗
- 2.2.42021-11-01 · diff ↗
- 2.2.32021-07-17 · diff ↗
Show 13 earlier eventsHide 13 earlier events
- RR 4.1.0 released · 2021-05-18
- 2.2.22021-04-30 · diff ↗
- 2.2.12021-04-24 · diff ↗
- 2.2.0
- 2.0.12020-11-20 · diff ↗
- 2.0.0
- 1.1.2
- 1.1.12020-06-24 · diff ↗
- 1.1.0
- 1.0.02020-04-25 · diff ↗ ·
removed 1 export
ihsadded 9 exports
clusterrank, collective.influence, h_index, hubness.score, ivi, ivi.from.indices, lh_index, sirir, spreading.score - RR 4.0.0 released · 2020-04-24
- 0.1.02020-02-17
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-17
- Total releases
- 21 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 18 KB / 3 files
- Download size
- 1.5 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("influential")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1016/j.patter.2020.100052, 10.1016/j.isci.2026.116303.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.