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This study is focused on quantifying causal effect in two typical graphical models. We demonstrate our method of quantifying causal effect based on the comprehensive theory of causality represented by Judea Pearl. The framework of Pearl is based on a significant concept known as "do-operation" which mathematically models the experimental sprite widely used in physics, social and biological science. In this work we propose a measure for causal dependence based on the notion of " do-operation". To analyze the validity of our measure, we enhance the mathematical framework of Pearl by considering graphical models in which edges are capacitated. We suggest several definitions for edge capacities (referred here as edge strengths) and perform a comprehensive study of the validity of our causal measure for each definition suggested.