Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/14331

Title: Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks
Author: Ebert-Uphoff, Imme
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.
Type: Technical Report
URI: http://hdl.handle.net/1853/14331
Date: 2007-01-29
Contributor: Georgia Institute of Technology. College of Computing
Relation: SIC Technical Reports; GT-IIC-07-01
Publisher: Georgia Institute of Technology
Subject: Blind average link strength
Connection strength measures
Link strength measures
Discrete Bayesian networks
True average link strength

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