The Social Network Visualizer project has just released version 1.9, which fixes many important bugs and brings a faster matrix inverse routine. Source code, Windows zipped executables, Mac OS image and binary packages for major Linux distributions are as always available from the Downloads page.
The matrix inverse algorithm is now using LU decomposition which greatly improves the computation speed. This improvement also affects Information Centrality algorithm which runs now in 1/10 of the time needed in earlier SocNetV versions.
Also, version 1.9 brings a revamped PageRank Prestige algorithm. Up to 1.8 the PageRank algorithm was using the original Page&Brin formula which lead to different results. From this version, SocNetV uses the correct formula and computes comparable results. Also, the initial PR score of each node is now 1/N.
#1463069 wrong average distance when there are isolates
#1365037 certain sparse matrices crash socnetv on invertMatrix method
#1365582 centralityInformation() is slow when network N>100
#1463095 edge filter works but the user cannot undo
#1464422 wrong pagerank results
#1464430 socnetv refuses to read pajek files not starting with *Network
#1465774 edges do not always follow relations
#1463082 edge color change is not taking place
#1464418 socnetv crashes on pagerank computation on isolated nodes