[igraph] FW: Fastgreedy Algorithm for Community Detection in igraph for

Hi,

I'm sorry, there was obviously a mistake in my codes. These codes would be the ones I used:

# Test: small network - undirceted_unwweighted_connected - FASTGREEDY
adjacency_undirected_unweighted_connected<-read.table("test_smaller_nw_adjacency_undirected_unweighted_connected.txt")
adjacency_matrix_undirected_unweighted_connected<-as.matrix(read.table("test_smaller_nw_adjacency_undirected_unweighted_connected.txt"))

g_adjacency_undirected_weighted_connected <- graph.adjacency(adjacency_matrix_undirected_unweighted_connected)

fg_undirected_unweighted_connected<-fastgreedy.community(g_adjacency_undirected_weighted_connected)
fg_undirected_unweighted_connected
membership(fg_undirected_unweighted_connected)
sizes(fg_undirected_unweighted_connected)

Regards,
Stefanie

From: address@hidden
To: address@hidden
Subject: RE: [igraph] Fastgreedy Algorithm for Community Detection in igraph for RStudio - fatal error.
Date: Wed, 28 Nov 2012 14:09:43 +0100

Hi,

thanks a lot! I send you the small network as well as the codes I used in the attachement. Remark: I changed the fact that it's an undirected graph, manually in R: Direction - from TRUE to FALSE.

Regards,
Stefanie

> From: address@hidden
> Date: Wed, 28 Nov 2012 11:44:39 +0100
> To: address@hidden
> Subject: Re: [igraph] Fastgreedy Algorithm for Community Detection in igraph for RStudio - fatal error.
>
> Hi,
>
> > Is it possible, that I have a newer version of igraph or RStudio, which is not compatible with the fastgreedy alg.? What can I do?
> I strongly suspect that the problem lies in RStudio itself because all the community detection algorithms work perfectly fine for me if I use them from the command line version of R. But just to make sure, please send me the small network that you managed to crash RStudio with and I'll check on my machine.
>
> > Then I have a second question: I’m also using the Optimal Modularity Algorithm. But it needs a lot of time to compute (I started it 24 hours ago and it’s still computing). Is there a possibility to make it faster?
> No, the optimal modularity algorithm is pretty much unusable for larger graphs (more than 40-50 nodes I guess). This is because it uses integer programming in the background and solving a general integer programming problem has exponential time complexity. On the other hand, if the algorithm finishes, it will give you the global optimum (unlike other community detection algorithms which usually do not have any performance guarantees).
>
> --
> T.
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> igraph-help mailing list
> address@hidden
> https://lists.nongnu.org/mailman/listinfo/igraph-help

From:	Stefanie Camenisch
Subject:	[igraph] FW: Fastgreedy Algorithm for Community Detection in igraph for RStudio - fatal error.
Date:	Wed, 28 Nov 2012 14:27:08 +0100