I guess the problem is that edge.betweenness.community interprets edge
weights the opposite way. Small numbers mean short links, so strong
connections. Use 1 / weights, maybe?

Gabor

On Mon, Dec 7, 2015 at 4:39 PM, Raj Balakrishnan <[email protected]> wrote:

> Dear Gabor,
>
> Isn't the example I have included enough?
>
> Thanks,
>
> Raj
>
> Raj Balakrishnan
> --------------------------------
> Sent from my mobile phone
> ------------------------------
> From: Gábor Csárdi <[email protected]>
> Sent: ‎07-‎12-‎2015 07:26
> To: Help for igraph users <[email protected]>
> Subject: Re: [igraph] Need help with plotting
>
> I am not sure what is going on here? Are you saying
> that edge.betweenness.community is buggy? Possibly, but then please show us
> why on some small example?
>
> Gabor
>
> On Mon, Dec 7, 2015 at 2:40 PM, Rk Lata <[email protected]> wrote:
>
>> Hi there,
>>
>> I am trying to plot self and cross reactions of bunch of proteins. I have
>> three states: Positive=1, Negative=0 and Partial=0.5. When I plot the
>> values in the matrix using the code below, I get the plot shown in Fig A. I
>> am expecting a plot as in Fig B. (Please see the Figures attached).
>> What should I do to make the weakly self reacting proteins (c & d) appear
>> as a separate group and not in group with other  strongly self reacting
>> proteins.
>>
>>
>> abcdefghia100000000b011000000c000.5000000d0000.500000e000111100f000011100
>> g000011100h000000011i000000011
>>
>> m <- as.matrix(read.csv("C:/Users/balakrr1/Desktop/csv/n3.csv",
>> header=TRUE, sep = ",", row.names = 1))
>> g = graph.adjacency(m,mode="undirected",weighted=TRUE)
>> g=simplify(g, remove.loops=TRUE)
>> eb=edge.betweenness.community(g,directed=FALSE,weights=E(g)$weight)
>> fr=layout.fruchterman.reingold(g)
>> plot(eb,g,layout=fr,edge.width=E(g)$weight,main="Edge Betweenness")
>>
>>
>> Thanks,
>>
>> Raj
>>
>>
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>>
>>
>
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