Graphics *and* Statistics: The Facebook Map

[This article was first published on Statistical Graphics and more » 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.

There is this beautiful graph created by the facebook intern Paul Butler showing all (?) connections between facebook accounts:

Paul’s article is called “Visualizing Friendships“, which I would more call “Visualizing connections between facebook accounts”, but that is probably a different matter.

Although this is a beautiful piece of artwork, from a statistical point of view it is not really giving us a great deal of insights. Sure, there are certain “white spots” on the map, where either there is a competitor of facebook more successful or people don’t want to, or can not use this kind of “social” contacts. Obvious examples are Russia or China. But this is info more on a meta level, i.e., not really part of the info shown.

What would be more interesting are things like a comparison between the expected link intensity based on either population, broadband connections or actual facebook accounts and the data Paul compiled. Looking at Germany, e.g., we see the former eastern part being less connected, which is based on both, smaller population density as well as a poorer development of broadband connections.

A visualization of these connection intensities should be hierarchic, starting with continents with the ability to drill down into countries, states and cities. That would certainly mean some development and could not be done in R (yes, this map was created in R!) so easily – maybe a case for iplots.

To leave a comment for the author, please follow the link and comment on their blog: Statistical Graphics and more » R. 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)