Data2Graph supports so-called max normalization strategy which helps to visualize students clusters in the graph. Nevertheless, the threshold controller that is used to cut off low-weighted links doesn't work well with the max normalization strategy.
If most of the link weights are in the same interval f.e. 0.0-0.15 (0-15%) then the threshold controller cannot be easily controlled because it is pretty sensitive.
One of the ways to make the usage of threshold controller easier will be to scale up threshold bounds up to minimal and maximal link weights. The feature should be optional.
Data2Graph supports so-called max normalization strategy which helps to visualize students clusters in the graph. Nevertheless, the threshold controller that is used to cut off low-weighted links doesn't work well with the max normalization strategy.
If most of the link weights are in the same interval f.e. 0.0-0.15 (0-15%) then the threshold controller cannot be easily controlled because it is pretty sensitive.
One of the ways to make the usage of threshold controller easier will be to scale up threshold bounds up to minimal and maximal link weights. The feature should be optional.