An aside from the usual notes posted in this blog about visualization.
Today, the book Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data was released by Wiley. It’s been a year’s worth of writing by David Jonker and I, plus a wide variety of editors to review the writing, images, technical references, data sets and more.
We cover a lot of different application areas where graphs are useful in business, and provide examples that range from point and click using tools such as Gephi and Cytoscape, to some light programming with Python and D3, to some examples using Big Data approaches. Here’s a low-res version of one of the images from the book:
This particular example is a visualization of a single email that starts at John and is forwarded to a variety of people. It has a nice aesthetic structure – some people simply forward the email on to one other person, while other people blast it out to many of their friends. Some chains are rather tenuous. I particularly like that the entire right half of the tree is connected by one gate keeper in the middle who simply forwarded the email to only one other person and then from there it exploded out to many others.
The book focuses on semantics: this particular example is used to discuss centrality. Centrality is a tricky thing to try to measure in a graph – exactly how do you define the center of a graph? In this image, node size indicates high degree people (e.g.Vern); betweenness centrality is indicated by label size (e.g. John and Drew); and closeness centrality is represented by hue (deep blue at the “center” e.g. Tiny, purple at the edge).
The book is available at all the usual big sellers, such as Barnes and Noble and Amazon. Also consider supporting your local book sellers: they’ve got lots of great books to flip through and purchase.