I've thought about this before, but it's difficult to do that in a way 
that's both difficult to harvest lists of opennet users from, and not 
having external requirements.

You could arrange and find parters through IRC, but then it's trivial 
for someone to /join that IRC channel and watch who's connecting, and 
could be blocked by blocking IRC..

The best answer that I could come up with, was to post noderefs to 
Freenet, NIM-style.. That would by in-band, so it wouldn't be any more 
blockable than the rest of freenet.. It would still be harvestable, 
though, and it would require you to connect with at least darknet user, 
before Open-net could start..

Personally, I think that's a good requirement ;)

-Colin


David Sowder (Zothar) wrote:
> I'm trying to resolve something in my mind about the small world model
> and how it relates to Freenet.  My understanding has been that the
> relation was in Freenet node location distances and my assumption was
> that the swapping algorithm was intended to optimized the "small world
> model" of an arbitrary set of connections such that, in my mind, it
> would theoretically settle on all nodes having a small world
> distribution of peers: increasing numbers of peers as shorter distances
> from a given node.
> 
> Toad has informed me on IRC a bit ago that the swapping algorithm does
> not make arbitrary interconnections achieve "small world", which leaves
> me with these questions:
> 
> Is there more than one metric for which we are trying to achieve "small
> world"?  If so, could that be confusing things for others as well?
> 
> Can a given node and a list of potential peers be used to create a small
> world model, at least from the perspective of the given node?  I assume
> this is somehow possible as I understand it that opennet will be doing this,
> 
> Some of you may already know where I'm likely going with this.  What can
> opennet built into fred do that a program like refbot.py couldn't do? 
> Could refbot.py potentially say, add 50 peers and then remove (in an
> orderly fashion) all but 15 based on a small world location/distance
> distribution to achieve a small world model if say, all/most nodes were
> using this same algorithm?
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