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simplifyNet  

Network Sparsification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("simplifyNet", "0.0.1")



Attach the package and use:
library("simplifyNet")
Maintained by
Alexander Mercier
[Scholar Profile | Author Map]
First Published: 2022-11-15
Latest Update: 2022-11-15
Description:
Network sparsification with a variety of novel and known network sparsification techniques. All network sparsification techniques reduce the number of edges, not the number of nodes. Network sparsification is sometimes referred to as network dimensionality reduction. This package is based on the work of Spielman, D., Srivastava, N. (2009)<doi:10.48550/arXiv.0803.0929>. Koutis I., Levin, A., Peng, R. (2013)<doi:10.48550/arXiv.1209.5821>. Toivonen, H., Mahler, S., Zhou, F. (2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore, D. (2011)<doi:10.1371>.
How to cite:
Alexander Mercier (2022). simplifyNet: Network Sparsification. R package version 0.0.1, https://cran.r-project.org/web/packages/simplifyNet. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited simplifyNet R package
View simplifyNet citation profile
Other R packages that simplifyNet depends, imports, suggests or enhances
Complete documentation for simplifyNet
Functions, R codes and Examples using the simplifyNet R package
Some associated functions: DFS . EList_Mtrx . EffR . EffRSparse . Lap . Mtrx_EList . WDiag . add.edges . bestpath . find.neighbors . gns . igraph.to.elist . irefit . is.connected . lans . net.as . normProbs . remove.edges . rerank . sVIM . sparse.step . sqrt_WDiag . 
Some associated R codes: EffRSparse.R . GlobalSparse.R . LocalSparse.R . ModelFit.R . ToivonenBestPath.R .  Full simplifyNet package functions and examples
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