v0.3

Added "hubscores" which measure the probability that transitions from basin A to basin B go through a third state C.

from csnanalysis.matrix import hubscores
h_abc = hubscores(transmat, basinC, [basinA, basinB])

where transmat is the transition matrix (should be trimmed beforehand), and basinX is a list of state indices that comprise basin X.

v0.2

CSNAnalysis v0.2

We have now implemented a number of features in CSNAnalysis:

• a Jupyter Notebook tutorial with installation instructions and a worked example
• three-state committor calculation and 3-color visualization
• full support of .gexf exports from NetworkX objects
• calculation of steady-state weights by eigenvector analysis and iterative multiplication

v0.1

Currently implemented:

• Weights from eigenvalues
• Weights from iterative multiplication
• Committor values
• Gephi exports

Still to come:

• Hub scores