Hi, I am working on a project to understand the linkages between various websites. My data currently looks like the following: Variables: Website referral_site_1 referral_site_2 ... destination_site_1 destination_site_2 ... The values in these fields are just websites. So for every website in the first column, I have the top referral and destination websites. I'd like to do some strength of linkage work for the initial sites (those just in website field), and then the network as a whole. I have been researching some various R packages for this, but would love to get some input/advice if there are a couple of packages/functions that are particularly appropriate. Thanks, -- View this message in context: http://n4.nabble.com/Network-Analysis-tp1838902p1838902.html Sent from the R help mailing list archive at Nabble.com.
Does anyone have any thoughts on this? I would really appreciate any insights/suggestions that the group could provide. -- View this message in context: http://n4.nabble.com/Network-Analysis-tp1838902p1839992.html Sent from the R help mailing list archive at Nabble.com.
On Wed, Apr 14, 2010 at 07:44:23AM -0800, bchaney wrote:> > Does anyone have any thoughts on this? I would really appreciate any > insights/suggestions that the group could provide.I did not do sophisticated analyzes, but my opinion is that igraph is easier to use and more versatile than statnet. It is also more capable of dealing with big networks. The only issue with igraph functions is that we have to remember that the indexes start at 0 and not 1 as all other R functions. The default igraph plots are very simple, but it is easy to add attributes to an igraph object to make nice graphics. -- Jakson A. Aquino Federal Uni. of Ceara www.lepem.ufc.br - Brazil