[flickr-photo:id=15085782,size=m] Tag clouds bore me. They're a relatively effective way of indicating quickly what topics are popular but that's it. From del.icio.us' cloud I can see that the site is for nerds - web nerds specifically. Flickr's tag cloud tells me that people tag events and place names but that's about it. My personal tag clouds on these sites tell me even less. My del.icio.us tag cloud tells me almost nothing - its a huge block of dark-blue and light-blue text. The Flickr one isn't much better - it tells me mostly that I took a bunch of photos kayaking in the Queen Charlotte Islands, or perhaps more specifically, I got around to tagging my kayaking photos.
I'm more interested in seeing what's going on right now and seeing how these topics are related. Since this is a graph visualization exercize I threw graphviz at the problem. After a bit of preliminary experimentation I ended up defining a graph based on recent tags pulled from an RSS feed. Each tag is represented as a node and any tags which appear together on the same post have arcs between them. Tag text gets scaled up a little with frequency. The effect isn't perfect. Its pretty boring when there isn't much data like on this site:
With a bit more data, like from my recent delicious feed things can get cluttered but we can see what I'm interested in right now:
This idea isn't fully developed. The complexity of laying these graphs out in a sensible manner increases pretty rapidly as the number of nodes and arcs increases and so does the visual clutter. I'd like to experiment with client-side graph layout (ie: implementing graphviz in JavaScript) and doing something more sensible with synonym tags - ie: tags which always appear together. Synonym tags are somewhat interesting, but can distract from the relationships between concepts. Treating all tags that are coincident over a small number of posts as synonyms may often result in false synonyms, and collapsing synonyms will make it easier to scale to more posts, so I expect that that may be a productive path to go down in scaling these visualizations up to encompass more posts.
Oh, and the final demonstration - my friend Dan is looking for and apartment and is a Ruby on Rails web application developer:
