What a treat! I had had the honour of meeting and spending the last two days chatting with Fernanda Viégas from the Visual Communications Lab.
Her work has been and continues to be inspirational for me personally and to the information visualisation community more substantially. She presented a tantalizing talk at the Social Network/ing conference at OISE/UofT. ‘Visualizing and Analyzing Social Networks’ quickly demonstrated a small facet of Many Eyes to a new audience and gave us a sneak preview of a new tool soon to be available through ManyEyes called PivotGraph. The logic of the PivotGraph is one of those ah-ha moments — it makes all the sense in the world, but leave it to Fernanda and Martin Wattenberg to visualize the problem, and come up with a brilliant way to solve it. Consider that social networks have traditionally been visualized in two ways: the node-link map and the matrix. The common to node-link method is very intuitive, but also becomes quickly cluttered and loses visualization value as the scale of the network being mapped grows. The second is the representative matrix, which scales very well, but sacrifices intuition for clarity. Realizing that there had to be a way of combining the strengths and minimizing the weaknesses, the PivotGraph hybridize these two forms using a collapsible node-link metaphor that, interactively aggregates like nodes and allows for focus on individual vectors. It’s nothing short of amazing to see in action! Read the rest of this entry »