Dienstag, 2. Juli 2013

Pelagios Co-Occurrence Graph

Wow - only 1 year and 11 months since my last blog post! Ok, it's been a while. Thought I'd try to get back in the habit, with the occasional snippet from or around my current project work. As usual, involving maps, graphs, and various things zoomable.

The image below is a visualization of the global network of related places in the Pelagios project. Places are "related" in Pelagios if they appear alongside each other in the same dataset (co-occurrence). The graph shown in the visualization uses the 10 most strongly related neighbours of each place and represents them as a graph, with each place shown as a node, and each neighbourhood relationship as an edge.

Right now, the main purpose of this is really just to try out and brainstorm some ideas for the upcoming third phase of the Pelagios project. And also to test-drive Scala Force Layout, my force-directed graph layout engine (written in Scala). The graph has 4.756 nodes and 14.264 edges, and my notebook crunched through 1000 layout iterations in roughly 37 seconds.

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