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DiffNet  

Identifying Significant Node Scores using Network Diffusion Algorithm
View on CRAN: Click here


Download and install DiffNet package within the R console
Install from CRAN:
install.packages("DiffNet")

Install from Github:
library("remotes")
install_github("cran/DiffNet")

Install by package version:
library("remotes")
install_version("DiffNet", "1.0.2")



Attach the package and use:
library("DiffNet")
Maintained by
Farzaneh Firoozbakht
[Scholar Profile | Author Map]
First Published: 2017-02-28
Latest Update: 2023-11-22
Description:
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.
How to cite:
Farzaneh Firoozbakht (2017). DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm. R package version 1.0.2, https://cran.r-project.org/web/packages/DiffNet. Accessed 02 Apr. 2025.
Previous versions and publish date:
1.0-0 (2017-02-28 11:08)
Other packages that cited DiffNet R package
View DiffNet citation profile
Other R packages that DiffNet depends, imports, suggests or enhances
Complete documentation for DiffNet
Functions, R codes and Examples using the DiffNet R package
Full DiffNet package functions and examples
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