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.
- Version0.1.4
- R version≥ 3.4
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release05/17/2018
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Team
Simon Dirmeier
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- Depends1 package
- Imports3 packages
- Suggests5 packages
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