Re: [igraph] Clusters in Graph

[Surendar Swaminathan]

Great Thank you guys!! Great very very helpful.

Surendar

On Tue, Nov 3, 2009 at 10:25 AM, Gábor Csárdi <address@hidden> wrote:
> Hello Surendar,
>
> graphs <- decompose.graph(G)
> tab <- data.frame(V=sapply(graphs, vcount), E=sapply(graphs, ecount))
> tab
> write.csv(tab, file="tab.xls")
>
> Best,
> G.
>
> On Tue, Nov 3, 2009 at 7:20 PM, Surendar Swaminathan
> <address@hidden> wrote:
>> Hello Tamas,
>>
>>  Thank you very much.I apologise for replying lte it did work and also
>> I tried no.clusters and it gave me the same result. I tried different
>> option to output the result in excel or some format. What I intend to
>> do was find the distribution of each clusters. Number of nodes and
>> number of edges in each cluster. Is there anyway I can output the
>> result in easy format for me to read.
>>
>> Surendar
>>
>> On Mon, Nov 2, 2009 at 7:51 AM, Tamas Nepusz <address@hidden> wrote:
>>> Hi Surendar,
>>>
>>> If you are looking for the connected components of a graph, check the
>>> help page for the following commands:
>>>
>>>> ?clusters
>>>> ?decompose.graph
>>>
>>> "clusters" will give you a numeric vector which contains N elements (N
>>> is the number of nodes in your graph). Each element of this vector is
>>> the cluster index of the corresponding node; nodes in cluster X will
>>> have X in the corresponding position in the membership vector.
>>>
>>> "decompose.graph" will take the original graph and return a list of
>>> graphs, each corresponding to one component of your original graph.
>>>
>>> --
>>> Tamas
>>>
>>>
>>> _______________________________________________
>>> igraph-help mailing list
>>> address@hidden
>>> http://lists.nongnu.org/mailman/listinfo/igraph-help
>>>
>>
>>
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>
>
>
> --
> Gabor Csardi <address@hidden>     UNIL DGM
>
>
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