Complex Network Analysis in Python

Slice the Network

Now, you must make another painful decision: which matrix elements become edges and which get discarded? ​Slice Weighted Networks​, explains the slicing philosophy. Choose the slicing threshold, SLICING, to be six. Higher SLICING results in many small communities. Lower SLICING results in few large communities. Six seems to be a good compromise between count and size.

The resulting matrix is very sparse (every cell represent an edge, but we agreed to have as few edges as possible!). Stack and normalize it—essentially convert into a sparse matrix, where each row represents a significant edge and its weight. Since NetworkX prefers to deal with Python (rather than Pandas) data structures, convert the weights to a dictionary: ...