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diffusr  

Network Diffusion Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("diffusr", "0.1.4")



Attach the package and use:
library("diffusr")
Maintained by
Simon Dirmeier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-28
Latest Update:
Description:
Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.
How to cite:
Simon Dirmeier (2016). diffusr: Network Diffusion Algorithms. R package version 0.1.4, https://cran.r-project.org/web/packages/diffusr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.1.0 (2016-11-28 00:33), 0.1.1 (2017-06-05 17:17), 0.1.2 (2017-10-30 00:46), 0.1.3 (2018-04-21 23:55), 0.1.4 (2018-05-17 23:01)
Other packages that cited diffusr R package
View diffusr citation profile
Other R packages that diffusr depends, imports, suggests or enhances
Functions, R codes and Examples using the diffusr R package
Some associated functions: diffusr-package . heat-diffusion-methods . hub.correction . nearest-neighbors-methods . normalize.laplacian . normalize.stochastic . random-walk-methods . 
Some associated R codes: RcppExports.R . diffusr-package.R . heat_diffusion.R . mat_util.R . mrw.R . neighbors.R . util.R .  Full diffusr package functions and examples
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