bagrow / network-portrait-divergence Goto Github PK

The C++ code (B_matrix.cpp) assumes the edgelist it reads is undirected and unweighted even if that is not the user's intent. I've updated portrait_divergence.py to prevent calling both C++ (--cpp) and directed/weighted options. It would be nice to support directed/weoghted graphs with the C++.

Thanks @Mattia10427725.

Hi, this is regarding Fig 1 in your publication.

I am trying to properly understand the Portraits, but am feeling lost.

1. The left hand side Y-axis is the "path length", so
2. Row 0 encodes the number of nodes. Next is where it gets confusing:
3. The bottom X-axis is also labelled as the "number of nodes k"? Does this exclude row 0, which is "doing its own thing"?
4. In the examples, it's either at 0 or 1 position according to the bottom axis, while the networks above clearly show >1 nodes for each example. But they're all bright yellow,
5. So it looks like the blue-yellow gradient legend on the right represents the number of nodes?
6. In that case, what does the bottom X-axis "number of nodes k" refer to?

1. ReadMe's Basic example:
   python portrait_divergence.py data/net1.edgelist data/net2.edgelist

Is that a file type with the extension literally being .edgelist?
If no, what's the exact expected format? TSV/CSV? Header or no header?

2. Example files in the Data folder aren't like any edge lists I've seen before. I'm used to files like
   "String1" "String2" "EdgeWeight", but the example files are "Number1" "Number2" "{}"?

3. After running the above code, is one number the only output? Will the script make a new folder and write output files, with the Portrait diagrams, etc?