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GRANDpriv  

Graph Release with Assured Node Differential Privacy
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GRANDpriv", "0.1.3")



Attach the package and use:
library("GRANDpriv")
Maintained by
Suqing Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-22
Latest Update: 2025-08-22
Description:
Implements a novel method for privatizing network data using differential privacy. Provides functions for generating synthetic networks based on LSM (Latent Space Model), applying differential privacy to network latent positions to achieve overall network privatization, and evaluating the utility of privatized networks through various network statistics. The privatize and evaluate functions support both LSM and RDPG (Random Dot Product Graph). For generating RDPG networks, users are encouraged to use the 'randnet' package <https://CRAN.R-project.org/package=randnet>. For more details, see the "proposed method" section of Liu, Bi, and Li (2025) <doi:10.48550/arXiv.2507.00402>.
How to cite:
Suqing Liu (2025). GRANDpriv: Graph Release with Assured Node Differential Privacy. R package version 0.1.3, https://cran.r-project.org/web/packages/GRANDpriv. Accessed 03 Oct. 2026.
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Complete documentation for GRANDpriv
Functions, R codes and Examples using the GRANDpriv R package
Full GRANDpriv package functions and examples
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Maintainer: Lu Mao (view profile)

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