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.
|Author||Simon Dirmeier [aut, cre]|
|Date of publication||2017-10-29 23:46:18 UTC|
|Maintainer||Simon Dirmeier <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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