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The Stanford Network Analysis Platform (SNAP) (http://snap.stanford.edu) is a high performance library for calculating network metrics of potentially very large graphs. Working with SNAP author and Stanford Computer Science Professor Jure Leskovec, the NodeXL team is releasing a new update with expanded support for network metrics. With SNAP integrated into NodeXL we have improved the scale and speed performance significantly (*very* significantly!). As of this release (v.126.96.36.199) the Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality measures are calculated using the SNAP library. In addition we have added the Page Rank metric calculated by SNAP to the list of supported network measures. Two additional clustering algorithms automatically group nodes together into collections. With SNAP integrated into NodeXL we have added two clustering algorithms: Girvan-Newman and Clauset-Newman-Moore.
What network metrics matter most to you?
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