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Re: [igraph] 'decompose.graph' versus 'clusters'
From: |
Gabor Csardi |
Subject: |
Re: [igraph] 'decompose.graph' versus 'clusters' |
Date: |
Fri, 25 Jul 2008 10:17:32 -0500 |
User-agent: |
Mutt/1.5.17+20080114 (2008-01-14) |
On Fri, Jul 25, 2008 at 08:13:39AM -0700, David Hunkins wrote:
> Okay, so the 8-way partition did the trick (decompose.graph was able to
> pull apart the 300k-node graphs but not the 600k-node graphs, which, when
> run, had generated the protection faults). I think I'm calculating real
> betweenness values for each connected component, because the order of
> operations is this:
> 1. remove largest cluster (the 2M-plus node cluster that breaks
> everything)
> 2. remove smallest clusters (the 1- and 2-node clusters that I'm not
> interested in)
> 3. take remaining clusters (about 200,000 of them) and divide them up
> into 8 groups
> 4. for each of the 8 groups, run decompose.graph to return a list of
> subgraphs
> 5. run betweenness on each of the graphs in the list of subgraphs (so I
> am only ever running betweenness on something that's a maximal connected
> component in the original graph)
> If I still haven't understood something about betweenness please let me
> know.
> This was surprisingly fast (just 8 hours of cpu time).
Oh, ok, that is fine, I thought you wanted to break the giant
component into eight pieces.....
> Next month I'll be trying such a strategy again on a much larger
> dataset; I'll be using the faster decompose.graph (presumably that's in
> your latest 0.6 tarfile) and let you know how it goes.
Not yet! I'll email you when it is uploaded.
G.
[...]
--
Csardi Gabor <address@hidden> UNIL DGM
- Re: [igraph] 'decompose.graph' versus 'clusters', (continued)
Re: [igraph] 'decompose.graph' versus 'clusters', David Hunkins, 2008/07/22