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Re: Unbiased sampling of graphs
From: |
Chris Langton |
Subject: |
Re: Unbiased sampling of graphs |
Date: |
Tue, 10 Apr 2001 20:08:48 -0700 (PDT) |
Hmmm - well, the minimal connected graph for N nodes is a ring with K=1
for each node. This minimal graph will be a sub-graph of any other connected
graph you generate....so - why not start from this minimal ring, and grow
edges from each node (up to edges=K per node) cannonically from there? It
doesn't seem as though you need to randomly sample the space of all N-node,
e <= K graphs....plus, I think you only have to explore the non-repeats
with respect to rotations of node labeling around such a ring....are node
labels important? or are you only looking for topologically distinct
graphs regardless of node labels?
Chris Langton
--- Jason Alexander <address@hidden> wrote:
> Hello,
>
> I need to generate a unbiased random sample from the set of connected graphs
> having N nodes and no more than K edges per node. One no-brainer way of
> sampling would be:
>
> while (true) {
> generate a graph w/ N nodes and <= K edges per node.
> if it's connected, break; otherwise, scrap graph and try again.
> }
>
> I would think there should be a better way. I'm not convinced that any of
> the methods I've thought of, though, sample the space without bias. For
> example, one might try:
>
> while (true) {
> generate a graph w/ N nodes and <= K edges per node.
> if connected, break
> else {
> while (unconnected nodes remain) {
> let X be a randomly chosen unconnected node.
> choose another node at random; if that node has < K edges, link it to
> node X; otherwise,
> choose another node at random (keep doing this until you get one with
> <K edges, then link to X).
> }
> }
>
> This seems plausible, but I'm skeptical.
>
> Any thoughts or references would be appreciated.
>
> Cheers,
>
> Jason
>
> --
> Jason Alexander
> Department of Philosophy
> University of California, San Diego
> La Jolla, CA 92093-0119
> 858-822-4910 (office)
> 858-534-8566 (fax)
>
>
>
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Swarm-Modelling is for discussion of Simulation and Modelling techniques
esp. using Swarm. For list administration needs (esp. [un]subscribing),
please send a message to <address@hidden> with "help" in the
body of the message.
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