R, D3.js and SNA Course

[This article was first published on jkunst.com: Posts for category R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I took the SNA course by Lada Adamic in coursera. It’s a super interesting course. In fact, I was using the networks only how a visualization tool, and that is what it make me little bit embarrassing because there are more, a lot of more. You can detect communities, know the more centric nodes and a lot of other information. So, there are a lot of reasons to look the course.

By other hand I like the d3 javascript library. Recently I was learning javascript, so I decided make a very little app to keep learning this library and show differents measures of centrality for each node in a set of 4 toy networks and see these measures by size, color or a label.

In this respositoy you can find the R code which create the networks, and export the data in json format.

To leave a comment for the author, please follow the link and comment on their blog: jkunst.com: Posts for category R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)