DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm (original) (raw)
Designed for network analysis, leveraging the personalized PageRank algorithm to calculate node scores in a given graph. This innovative approach allows users to uncover the importance of nodes based on a customized perspective, making it particularly useful in fields like bioinformatics, social network analysis, and more.
Version: | 1.0.2 |
---|---|
Depends: | igraph, assertthat |
Imports: | MASS, parallel |
Published: | 2023-11-22 |
DOI: | 10.32614/CRAN.package.DiffNet |
Author: | Farzaneh Firoozbakht [aut, cre, cph] |
Maintainer: | Farzaneh Firoozbakht <faren.firoozbakht at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | DiffNet results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=DiffNetto link to this page.