Re: [igraph] weighted random walks with R igraph

[Tamas Nepusz]

For purposes of the mailing list archive: this is now being discussed in https://github.com/igraph/igraph/issues/981

@vtraag said:

"no it is not yet implemented in the R interface. We are currently working on updating the R interface to the recently released C core, version 0.8.0, see igraph/rigraph#372. If that is done, the new contributions could start to be added."

T.

On Wed, 26 Feb 2020 at 21:10, Dr Gregory Jefferis <address@hidden> wrote:

Hello,

I would like to generate weighted random walks i.e. where the transition
probabilities are proportional to the edge weights leaving a node. I am
using R. It looks like this is implemented in C but not R. Is this
correct? See https://github.com/igraph/igraph/issues/981

Would you have any suggestions about how to do this from the R
interface? Other than implementing the wrapper for
igraph_random_edge_walk?

With many thanks,

Greg Jefferis.

--
Gregory Jefferis
Division of Neurobiology
MRC Laboratory of Molecular Biology
Francis Crick Avenue
Cambridge Biomedical Campus
Cambridge, CB2 OQH, UK

http://www2.mrc-lmb.cam.ac.uk/group-leaders/h-to-m/g-jefferis
http://jefferislab.org
https://www.zoo.cam.ac.uk/research/groups/connectomics

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