For most of the world (China and Russia excluded), Facebook should be seen as having the same role in our marketing communications planning as Google. Together, Facebook and Google are the twin engines that drive discovery for the average web user. Everything else is fresh and interesting, but sometimes we have to prioritise.
I’ve been playing around trying to get Page Insights data directly from the Graph API (usually we just export and process the data from the Insights dashboard.) Thanks to an excellent article by Facebook’s Paul Carduner on Authenticating with Facebook on the command line, I’ve found a way to do it; but if you just […]
Your Facebook audience isn’t connecting during work hours on weekdays and there’s a strong chance that they’re not on a desktop PC.
Another chapter in the “like if you hate cancer” story. Interestingly, user posts on Lil Wayne’s Page don’t seem to be visible to other fans; so did the initial impetus for this post come from Lilquan’s own social graph? There’s a Facebook property, page_fan that I’ve been looking at in the hope that I can […]
Three videos on Facebook Stories from Stamen Design visualise how photos posted by George Takei were shared and re-shared over time. Stamen’s work is always wonderful — this is remarkable. There’s no rubric, but I’m assuming that this is a form of network graph — where each node may itself become the source of new […]
I’ve collected over 1,100 posts from Coca Cola’s Facebook Page that follow (more or less) this format: Coca cola, I have a proposal. You have 9million followers if I can get 2million likes, you have to change one of the colors on your cans to pink. And you have to donate 30% of the profits […]
Coca Cola and Cancer There are a few of these going around at the moment (click on the images to see the original post) Austin has collected over 300K slacktivist likes already: even though he can’t count too well — how many fans does Coca Cola have?
R The R Project (software and manuals) John M Quick’s R Tutorial Series Computing for Data Analysis at Coursera. the R-Podcast Cookbook for R Quick R Perl and R Machine Learning for Hackers (O’Reilly) (££) L Francis: Text Mining Handbook – Casualty Actuarial Society ggplot2 (for pretty charts) Hadley Wickham’s ggplot2 General Tony Hirst’s Ouseful.info