Re: [igraph] Label propagation algorithm performance comparison

[Zhige Xin]

Hi,

I know what happened. The graph I dealt with was a random one. So it is 

difficult to find its community structure. The out of memory thing has something

to do with the random graph. When I tested a real world network, it ran well.

Thanks!

Isaiah

On Tue, Feb 5, 2013 at 6:39 PM, Gábor Csárdi <address@hidden> wrote:

Hi, this is hard to answer, because we don't know what you did exactly. Please send some platform information, e.g. the output of sessionInfo() in R, and also some self-contained code that reproduces the problem. (You can use some random graph if you don't want to share your data, or the data is big.)

Gabor

On Tue, Feb 5, 2013 at 6:30 PM, Zhige Xin <address@hidden> wrote:

Hi all,

I have a question. When I use R and label.propagation.community() on the network that has more than 20, 000 nodes, my laptop tells me out of memory. 

Why it does not happen when I use Python and community_label_propagation()? I thought they were both written in C.

Isaiah

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Gabor Csardi <address@hidden>     MTA KFKI RMKI

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