DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm

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


Reference manual: DiffNet.pdf


Package source: DiffNet_1.0.2.tar.gz
Windows binaries: r-devel: DiffNet_1.0.2.zip, r-release: DiffNet_1.0.2.zip, r-oldrel: DiffNet_1.0.2.zip
macOS binaries: r-release (arm64): DiffNet_1.0.2.tgz, r-oldrel (arm64): DiffNet_1.0.2.tgz, r-release (x86_64): DiffNet_1.0.2.tgz, r-oldrel (x86_64): DiffNet_1.0.2.tgz
Old sources: DiffNet archive


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