Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks
Abstract
This paper discusses measures for connection
strength (strength between any two nodes)
and link strength (strength along a specific
edge) in Discrete Bayesian Networks. The
typical application is to visualize the connections
in a Bayesian Network learned from
data to learn more about the inherent properties
of the system (e.g. in earth sciences,
biology or medicine).
The paper focuses on measures based on mutual
information and conditional mutual information.
The goal is to provide an easy-toread
document that gives clear reasoning for
existing measures, provides some simple extensions
(modified measures for different applications),
discusses the limitations of the
measures, provides enough interpretation to
aid a scientist in selecting the most appropriate
one and suggests some new uses for link
strength.
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