R help - Jul 2013 - Network analysis

Hi,

I am trying to do network analysis for my data-set but facing few difficulties.
Would be very grateful if could get some help from anyone.

My dataset has 5 columns and 110 rows and I am trying to build link which rows
are more likely to be connected to the columns. I want to use Jaccard similarity
coefficient as the weight for my network.   I am doing this in igraph library so
far but would be happy to use any other library package.

I am not sure how to import my dataset into R for network analysis purposes and
I also can't seem to add weights to my network and would be very grateful if
someone could guide me as to how can I do it in R.

Thanks
Sarah


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Hi Sarah,
It would help to know what the data looks like now and to have some idea of what
you have already done.  Here are a couple of links what suggest how to frame a
question for  the R-help list

And here is an article using network analysis. No idea if the techniques are at
all relevant but there is a link to the author's code. And it's a fun
read.
http://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/

John Kane
Kingston ON Canada

> -----Original Message-----
> From: sundas.javad12 at imperial.ac.uk
> Sent: Wed, 24 Jul 2013 10:18:03 +0000
> To: r-help at r-project.org
> Subject: [R] Network analysis
> 
> 
> 
> Hi,
> 
> I am trying to do network analysis for my data-set but facing few
> difficulties. Would be very grateful if could get some help from anyone.
> 
> My dataset has 5 columns and 110 rows and I am trying to build link which
> rows are more likely to be connected to the columns. I want to use
> Jaccard similarity coefficient as the weight for my network.   I am doing
> this in igraph library so far but would be happy to use any other library
> package.
> 
> I am not sure how to import my dataset into R for network analysis
> purposes and I also can't seem to add weights to my network and would
be
> very grateful if someone could guide me as to how can I do it in R.
> 
> Thanks
> Sarah
> 
> 
> 	[[alternative HTML version deleted]]
> 
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> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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