What Social Network Analysis software do you use?

May 12, 2010
By

(This article was first published on Brokering the Closure » R, and kindly contributed to R-bloggers)

See a the poll here by Gabriel Rossman at Code and Culture.

I voted for R and ‘igraph’.

If you use R you are getting access to all the other wonderful things that come with R. Using specialized package, like Pajek, UCINET etc requires constant going back and forth between network software and some other general analytical software (sas, spss, what have you).

I also use both R packages. Mainly ‘igraph’ (and that is what I voted for) because I find the network data manipulation much easier than in ‘network’. I believe it is also much more efficient computationally than ‘network’ (Gabor Csardi showed couple of comparisons on UseR 2009). On the other hand with ‘network’ you get access to ERGM and all the other statnet packages written by people at Stats Dept at University of Washington. So igraph/network is not an easy choice.

I’m actually working on reliable routines that will convert igraph objects to network and vice versa. Perhaps an ideal situation would be to have a an umbrella interface to igraph, network, graph etc. very similar to DBI as an umbrella over RMySQL, RSQLite etc…..


Filed under: networks, R, social science, web

To leave a comment for the author, please follow the link and comment on his blog: Brokering the Closure » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , , , , , , ,

Comments are closed.