Patrick Mary

Seems to be a good idea.

Underlying algorithm of Watts Strogatz random model

Thanks for your report. The algorithm works as you described when the “original” parameter is set to “true”. Unfortunately, in this configuration, the check of the parameters is wrong N < ln(k) (instead of k >= ln(N)) which causes an error to be returned, preventing the algorithm from being correctly executed. This will be fixed for the next Tulip release.

Sounds interesting Thanks

Will Tulip still be open source?

From the beginning of Tulip development, its source code is available with the precompiled binaries of each Tulip release. See https://sourceforge.net/projects/auber/files/tulip Hope this helps.

Tulip 5.7.4 is available

Tulip 5.7.4 is avilable