Monthly Archives: October 2012
Pages are part of Facebook’s project to suck up the Web. They are also full of data. In the next version of netvizz I will add a feature that allows to dig into that data a little bit. Here is a preview:
This network (visualized with gephi) shows interactions on the Facebook page of the Guardian. I extracted all the likes and comments for the last 80 posts. On the whole, there are 9.500 users liking and commenting away. Each dark and labeled node is a post while all the others are users. A heat scale (blue => yellow => red) shows how often a user interacts with the page; size shows how often a node was liked or commented on (for pages) or liked and commented (for users).
One can see a a core of regulars in the middle of the graph, but the main engagement comes from a large majority of users that have only interacted with a single posts. These users drag the big subjects out to the margins in this specific spatialization. Engagement, here, comes from a fleeting audience rather than a more stable group or community.
There is still some testing to do, but I hope to get this feature ready soon for general use.
The second issue of computational culture is out and I am really looking forward to plunging into it once my teaching schedule leaves me a little bit more time. I am very happy that my paper made it in. As I am currently preparing a lecture on visual analysis for a class, I’ve been using the text for a bit of fun.
James A. Danowski‘s co-word tool wordij is unfortunately no longer online (why?), but it’s a really interesting and powerful piece of software and I used it here to create an alternative view of the paper (click for bigger image) with the help of gephi:
Many Eyes is still has a few tricks up its sleeve and this word tree visualization is really quite a strong tool for exploring the use and context of select words in a text:
These really work quite well on this particular paper, but I hope to spend more time with text analysis over the next months – working on historical papers from computer and information science – to see how well these and other tools hold up in a truly exploratory context.