The Social Network Visualizer project has released a brand-new version of our favorite SNA application. SocNetV v3.0 brings improved speed and responsiveness, bugfixes and new command line parameters.
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The Social Network Visualizer project happily released today a brand new version of our favorite social network analysis and visualization tool. SocNetV version 2.5, codenamed “maniac”, brings new features and improvements (i.e. custom node icons) and it is as usually available for Windows, MacOS and Linux. Go to the project’s Downloads page and get it!
The Social Network Visualizer project has released a brand new version of our favorite social network analysis and visualization software application. SocNetV version 2.4, released on Feb 28, is a major upgrade bringing lots of new features, such as Kamada-Kawai FDP layout. The new version is available for Windows, Mac OS X and Linux as usual. Linux user may download a very light AppImage — just click it to run the app!
See a brief discussion of the new features and changes in version 2.4 at:
Another release has just emerged from the depths of the Social Network Visualizer project! The new version 1.9 fixes important bugs and brings a vastly improved matrix inverse algorithm, thanks to the newly implemented LU decomposition. Of course, the new algorithm speeds up all other routines which depend on the inverse of a matrix, such as the Information Centrality algorithm.
Also, SocNetV v1.9 brings a revamped -and corrected- PageRank Prestige routine. Up to v1.8, the PageRank algorithm was using the original Page&Brin formula which lead to somewhat different results compared to other SNA applications. From this version, SocNetV uses the correct formula and computes comparable results (yes, we tested :)).
Source code, Windows zipped executables, Mac OS image and binary packages for major Linux distributions are as always available from the project’s Downloads page. Have fun with the new release!
Also, I am happy to report that the Qt project has added SocNetV to its ‘showroom’ page, along with many other nice Qt applications. There is also a showroom page dedicated to SocNetV with nice screenshots and a brief description of the application. Kudos to Kojo Tero, of Qt Company, for this!