Private Releases

Jan 30, 2012 at 1:47 PM


I have seen some private releases in NodeXL Downloads. Does it mean that those releases will not be available for download?


Jan 30, 2012 at 5:00 PM


We're working on a new technique for grouping vertices by "motifs," which are sets of vertices connected in a certain way.  For example, a fan motif consists of a head vertex that is connected to two or more vertices, each of which is connected only to the head vertex.  Motifs can be collapsed into simple, compact representations when the graph is shown, making motifs an effective way to simplify a dense, complicated graph to make it easier to understand.

Our motif work is led by Cody Dunne and Ben Shneiderman at the University of Maryland, and the private releases you've seen recently have been used by Cody and Ben to evaluate the new feature while it's being developed.  The motif feature will appear in a future public release, but it's not quite finished yet.

However, there will be a new public release of NodeXL sometime soon.  It will have the motif feature temporarily turned off, but it will include several bug fixes and a few feature improvements unrelated to motifs.

-- Tony

Jan 30, 2012 at 5:04 PM
Edited Jan 30, 2012 at 5:04 PM

Thank you for the interest in NodeXL!

The results of the work in the private releases will be made public once our group's internal testing and feature development have been completed.

We are currently working on features related to improving the connection between NodeXLGraphGallery and the client NodeXL application.  Soon you will be able to upload workbooks as well as GraphML data from your network.  Also, you will be able to exchange settings files - the configurations that turn a data set into a final, processed and decorated network graph.

NodeXL is also releasing a set of experimental features that perform Network Motif Simplification.  This means that frequent simple patterns in the network are recognized and replaced with simpler, easier to read, and smaller visual representations.  For example, a common pattern in networks in a "fan" a structure created when one person has many "singleton" connections and has the only path back to a larger network.  This "fan" structure can be replaced with a simpler "wedge" shape that conveys the idea of a fan with more visual efficiency.

From there we have many features planned to improve the ability to automate the collection, processing, analysis, visualization and textual summary of network graphs.