Clustering with normalization methods about networkanalysis HOT 2 CLOSED

Hi @maximiliano02, thanks for offering such an improvement! Indeed most of the methodology to create such normalizations are already present in the codebase, we simply have not yet exposed them. So, at the moment only non-normalized weights are used. Feel free to create a PR to contribute your improvement.

Regarding some of the technical details:

1. Please note that -w is already used to indicate the network is weighted. We suggest to use -n [NORMALIZATION] to indicate the weight normalization method, where NORMALIZATION can be None (which should be the default), AssociationStrength or Fractionalization
2. Please do not modify the readEdgeList method, but rather, call the methods createNormalizedNetworkUsingAssociationStrength or createNormalizedNetworkUsingFractionalization once the network is loaded here:
   

   networkanalysis/src/cwts/networkanalysis/run/RunNetworkClustering.java

   Line 300 in 8bb4689

   Network network = readEdgeList(edgeListFilename, useModularity, weightedEdges, sortedEdgeList);

3. See previous point.

If you are not yet familiar with contributing a PR, the process is, in essence, relatively simple.

1. Create a fork
2. Make a new branch, starting from this master branch.
3. Push your changes to the new branch in your own fork.
4. Create a Pull Request.

For more information about this, please refer to this explanation from GitHub.

from networkanalysis.

Thanks for your suggestion! The normalization feature is now available in the master branch. See #9.

from networkanalysis.