Daden has a blog post up detailing some of their work with Second-Life derived OpenSim and visualizing unstructured datasets within the world. They have some great tools for visualization on surface plots, scatter plots, and more.
Based on over 5000 tweets captured at 5 minute intervals over the day. Central cone layer shows most prolific tweeters (size = number of tweets, red = quoting others, yellow=being quoted). Position in layer reflects sentiment, high=good, low=bad (orange surface level = neutral). Lower cone layer is other Twitter users being mentioned in tweets, upper cube layer is hashtags being used, for both size=number of mentions. Each object has a label identifying name. Hovering cursor over an object brings up more information/options such as bringing up the twitter page of the user (in this case imPrinceHarry – who luckily rated positive on sentiment!). Further refinement could show social graph data from people mentioning other people in tweets, and links to hashtags they used etc.
It’s interesting to see some of the old research used for CAVE’s and Immersive Environments come back in the Virtual World space. Not all the same rules apply, but it’s a completely different world looking at data from the Inside Out, rather than the Outside In.
via Adventures in #opensim data visualisation & visual analytics #4 – Daden Blog.
