influential: Identification and Classification of the Most Influential Nodes
Provides functions for classification and ranking of candidate
features, reconstruction of networks from adjacency matrices and data
frames, topological analysis, and calculation of centrality measures. The
package includes the SIRIR model, which combines leave-one-out
cross-validation with the conventional SIR model to rank vertex influence
in an unsupervised manner. Additional functions support assessment of
dependence and correlation between network centrality measures, as well as
estimation of conditional probabilities of deviation from their
corresponding means in opposite directions.
| Version: |
2.3.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
igraph, janitor, ranger, foreach, doParallel, ggplot2, Rcpp |
| Suggests: |
Hmisc (≥ 4.3-0), mgcv (≥ 1.8-31), nortest (≥ 1.0-4), NNS (≥ 0.4.7.1), BiocManager, readr, parallel, shiny, shinythemes, shinyWidgets, shinyjs, shinycssloaders, colourpicker, magrittr, DT, knitr, rmarkdown |
| Published: |
2026-02-13 |
| DOI: |
10.32614/CRAN.package.influential |
| Author: |
Adrian Salavaty 
[aut, cre],
Mirana Ramialison [ths],
Peter D. Currie [ths] |
| Maintainer: |
Adrian Salavaty <abbas.salavaty at gmail.com> |
| BugReports: |
https://github.com/asalavaty/influential/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/asalavaty/influential,
https://asalavaty.github.io/influential/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
influential citation info |
| Materials: |
README, NEWS |
| In views: |
NetworkAnalysis |
| CRAN checks: |
influential results |
Documentation:
Downloads:
Reverse dependencies:
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