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From: | Walk to Sun |
Subject: | [igraph] Re: Hello |
Date: | Wed, 11 Feb 2009 23:51:23 +0800 |
Dear Dr Gábor Csárdi ,
I am glad to read your reply. Your explaination
is very helpful and very clear.
In order to generate a random graph with each node
representing a district, what data should I collect ?
Data which can repersent relation and attributes? Do I need to
calculate betweenness or in/Out degree before
loading data into R?
Besides, I cannot run the program in below pages. Where can I download dataset? http://cneurocvs.rmki.kfki.hu/igraph/screenshots2.html#10 > library(igraph) Thank you for your time.
Best regards
W
----- Original Message -----
From: "Gábor Csárdi" <address@hidden>
To: "Walk to Sun" <address@hidden>
Cc: <address@hidden>
Sent: Wednesday, February 11, 2009
6:44 PM
Subject: Re: Hello On Wed, Feb 11, 2009 at 9:26 AM, Walk to Sun <address@hidden> wrote: > Dear Dr Gábor Csárdi , > > Is that possible to use below data to make distribution estimaiton? I am sure that it is, but why is this an igraph question? See e.g. ?fitdistr in the MASS package. > How to > arrange data? To load it into igraph? I don't know, where is the graph in your data? > How to calculate In/Out degree, ?degree > Size, I don't know what this is to be honest. > Density, ?graph.density > Betweenness, ?betweenness > Centrality, Which centrality? > Closeness ? ?closeness Perhaps, you could try using ?help.search, e.g. help.search("betweenness") tells you how to calculate betweenness. Or use the R igraph manual pages at http://cneurocvs.rmki.kfki.hu/igraph/doc/R/00Index.html G. > > district vairable 1 variable 2 > 1 3370.86 0.29 > 2 3881.64 0.29 > 3 4465.13 0.29 > 4 5742.33 0.29 > 5 5069.75 0.29 > 6 6628.07 0.29 > 7 7753.61 0.29 > 8 6238.07 0.29 > 9 3881.64 0.29 > 10 7753.61 0.29 > 11 3881.64 0.29 > 12 5069.75 0.29 > 13 3881.64 0.29 > 14 5742.33 0.29 > 15 5069.75 0.29 > 16 3628.07 0.30 > 17 4465.13 0.30 > 18 5742.33 0.30 > 19 5069.75 0.30 > 20 6628.07 0.30 > 21 7753.61 0.30 > 22 4559.77 0.30 > > > Thanks > > W -- Gabor Csardi <address@hidden> UNIL DGM |
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