It is exciting to see our algorithm being implemented and explored by others. We now have one more implementation of link clustering, in R. It is written by Alex T. Kalinka (Max Planck Institute of Molecular Cell Biology and Genetics) and can be downloaded from here.
A nice thing about the package is that it does not only calculate the communities, but also have nice visualization tools built-in. You can start by running the demo script and it will welcome you with cool visualizations of the network of Les Misérables.
Our own implementations (in Python and C++, now looks much more primitive) are now hosted on github and we welcome any contribution. Let us know if you have any cool softwares related to link communities!