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Programs to identify link communities in complex networks

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Let's make the python code a full-fledged installable module, using distutils or whatever.

feature
good code

**Bug:** In the case of a single triangle as input: 0\t1 0\t2 1\t2 Ouput is three different communities. **Root cause:** All _oms_ values in the min heap _H_ are 0.0,...

Hello, I was using your code and noticed the bash file CLI could use an upgrade for the looping file. I improved that somewhat and created a makefile to make...

Many evaluation scripts rely on communities of nodes, whereas `clusterJaccards` produces output files of edges. It would be useful to have a script that converts between the two.

To draw the corresponding hierarchical tree (dendrogram), the program should record the hierarchical information to the file. I think this feature is not so important for the C++ version that...

feature

We don't have any test case yet. It will be useful if the codes become more complex.

good code

It would be nice to call the speedy-but-limited **C++** code directly from **link_clustering.py**. For example: python link_clustering.py -f net.pairs It is not clear to me if this should store the...

feature

It will be useful if the program creates two files containing community strength and partition density for each community at the optimal threshold (or given threshold). The community strength is...

feature

The size distribution of the communities often has a heavy tail. i.e. there are giant communities. In many cases, it is needed to break it down into smaller communities.

feature
new alg

Add support for average-linkage, max-linkage...

feature
new alg