dirmeier/diffusr: Network Diffusion Algorithms

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.

Getting started

Package details

MaintainerSimon Dirmeier <simon.dirmeier@gmx.de>
LicenseGPL (>=3)
Version0.1.4
URL https://github.com/dirmeier/diffusr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dirmeier/diffusr")
dirmeier/diffusr documentation built on Sept. 23, 2019, 2:55 a.m.