The LinkStrength package provides
functions to calculate and visualize entropy, connection strengths and
link strengths for discrete Bayesian Networks. The package is
implemented in MATLAB's Bayes Net Toolbox (BNT).
The following measures are implemented:
- Entropy is used to measure the uncertainty in a single node.
- Mutual information is used to measure connection strength.
- Two measures derived from mutual information are available to
measure link strength, namely True Average Link Strength and Blind
Average Link Strength.
- In addition, mutual information percentage
and link strength percentage
are provided to measure the {\it percentage} of the existing
uncertainty that has been removed.
Several output routines allow the user to print the resulting
values to the screen in a formatted way.
The visualization component uses a Graphviz interface
to generate a picture of the graph, employing gray scales of links and
nodes to indicate link
strengths and connections strengths (in addition to printing the
corresponding numbers underneath the links and node names).