Measuring Network interdependency using Mutual Information Technique: A Case study of Power-Water Network

Abstract

Abstract This paper presents a novel approach to the Dependent Network interdependencies analysis, based on the Mutual Information Technique. This is a statistical measure that quantifies the amount of information shared between two variables. In the context of networks, we can calculate the mutual information between the nodes in each network and use it as a measure of the strength of their interdependency. This Technique is useful in capturing the functional and service level interdependencies between the networks. The Mutual Information based approach is a useful analytical tool for determining the degree of mutual effect and reliance between variables in linked systems. We want to shed light on how Mutual Information might help us comprehend and analyse the interplay of critical infrastructure networks by applying this technique to the example of a hydroelectric power plant depending on a river for water supplies A case study of simulated power network used in this paper for illustration and validation of the technique.