Hi Tiago,

Sorry for bothering again. A small query: If the graph size is say 10^4, and 
the degrees are drawn from the discrete-power law or some other right-skewed 
distribution for which the second moment diverges, would n_iter = 1000 be 
enough for the Markov chain to saturate? Is there a rule of thumb for choosing 
n_iter when the scaling index of the power-law and the graph size are given?

Thanks and regards,
SS


‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Wednesday, July 22, 2020 2:22 PM, Snehal Shekatkar 
<[email protected]> wrote:

> Thanks so much Tiago, I highly appreciate the help. I think it would be 
> useful to put one such reference along with others in the random_rewire docs. 
> Please consider this if it makes sense.
>
> Thanks and regards,
> SS
>
> Sent with ProtonMail Secure Email.
>
> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
> On Wednesday, July 22, 2020 12:47 PM, Tiago de Paula Peixoto [email protected] 
> wrote:
>
> > Am 22.07.20 um 08:49 schrieb Snehal Shekatkar:
> >
> > > Thanks Tiago. I have a related question: suppose self-loops and 
> > > multi-edges are not allowed. Now according to the documentation, graphs 
> > > are generated using "Efficient Markov Chain based on edge swaps". 
> > > However, I could not find the description of the algorithm in the 
> > > documentation or the references therein. I have gone through the 
> > > Karrer-Newman paper as well as your paper "Entropy of stochastic 
> > > blockmodel ensembles", and both do not describe the algorithm about any 
> > > rewiring using Markov chains. Could you kindly point me to the actual 
> > > algorithm?
> >
> > This is the usual edge-swapping algorithm that has been discovered and
> > re-discovered many times since the 50s. You can find a good description
> > in the recent paper: https://arxiv.org/abs/1608.00607
> > Best,
> > Tiago
> >
> > Tiago de Paula Peixoto [email protected]
> > graph-tool mailing list
> > [email protected]
> > https://lists.skewed.de/mailman/listinfo/graph-tool


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