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Re: [igraph] Community similarity / dissimilarity


From: Tim Wilson
Subject: Re: [igraph] Community similarity / dissimilarity
Date: Wed, 19 Dec 2012 16:17:48 -0500

> n = vc.n

sorry, this should be:

n = len(vc.sizes())



On Wed, Dec 19, 2012 at 3:54 PM, Tim Wilson <address@hidden> wrote:
> Thank you Tamas
>
>> Would you like to compare two communities, or to compare two community 
>> structures as a whole?
>
> vc = g.community_infomap()
> n = vc.n
>
> I'm trying to make an n by n similarity matrix that compares every
> discovered community w/ every other discovered community
>
> My ultimate goal is to use this similarity matrix and multidimensional
> scaling to make a nice 2d layout of the discovered communities
>
>> If you wish to compare two given communities only, are they from the same 
>> clustering of the same graph (i.e. are they disjoint) or are they from 
>> different clusterings of the same graph?
>
> They're disjoint
>
>
>
> Tim
>
>
>
> On Wed, Dec 19, 2012 at 3:34 PM, Tamás Nepusz <address@hidden> wrote:
>> Hi,
>>
>>> I'm trying to identify a good distance (similarity / dissimilarity)
>>> measure for discovered VertexDendrogram and VertexClustering
>>> communities
>> Would you like to compare two communities, or to compare two community 
>> structures as a whole? For the latter, we have a function called 
>> compare_communities, which implements several distance/similarity metrics on 
>> VertexClustering objects.
>>
>> If you wish to compare two given communities only, are they from the same 
>> clustering of the same graph (i.e. are they disjoint) or are they from 
>> different clusterings of the same graph?
>>
>> Best,
>> Tamas
>>
>>
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