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.
Package details 


Maintainer  Simon Dirmeier <[email protected]> 
License  GPL (>=3) 
Version  0.1.4 
URL  https://github.com/dirmeier/diffusr 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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