[Networkit] ReCoN code
christian.staudt at kit.edu
Mon May 1 11:53:31 CEST 2017
>> Unfortunately, I cannot find ReCoN within the NetworKit documentation. I assume it would be here: https://networkit.iti.kit.edu/api/generators.html.
You are right, and this is a known issue: I believe the ReCoN implementation is still under the name “generators.LFRGenerator”, which means that nobody is going to find it, and there were plans to change this a long time ago. Since I’m not currently involved in development, please raise this and other issues you might come across on github  or the email list .
>> As a separate test/question, I would also like to keep the number of nodes the same but vary the density. Can ReCoN do this?
Possibly, depending on the parameters. I think that's a research question for you.
Dr.rer.nat. Christian Staudt
> On 29. Apr 2017, at 19:23, N.K. Douglass <nkd26 at cam.ac.uk> wrote:
> Dear Dr. Staudt,
> I came across an article you coauthored, "Generating realistic scaled complex networks," which I read with great interest. I would very much like to scale-up some of my synthetically generated social networks while preserving as many network attributes as possible -- ReCoN looks like a perfect tool.
> Unfortunately, I cannot find ReCoN within the NetworKit documentation. I assume it would be here: https://networkit.iti.kit.edu/api/generators.html.
> If you have a free moment, can you please direct me toward the code. If the code is not available yet, in your opinion what would be the next best option?
> As a separate test/question, I would also like to keep the number of nodes the same but vary the density. Can ReCoN do this?
> Thank you so much for your time. I would be very grateful for any information you might share.
> All the best,
> Nathaniel Douglass
> PhD Candidate
> Supervised by Mike Bithell
> Geography Department
> University of Cambridge
> nkd26 at cam.ac.uk
> +44 7999 210279
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