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We demonstrate the interest of our method on three real-world networks: DBLP, LastFM and Enron.
The interest of our method lies in the fact that it allows for a fast and accurate analysis of the performances of FFR.
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When other relationships than direct physical interactions are also deemed of interest, the precision of our method can become as high as 90%.
They also validate the interest of our coupling method and its feasibility.
Again, we can see the great interest of our numerical method: the mathematical expectation (6) can be calculated quickly and accurately by numerical computation of the mean in (6)—because we have at our disposal, for both frequency reuse patterns FR1 and FR3, analytical expressions for the probability laws of the r.v.'s Hfs,0 and G, parameterized by the shadowing standard deviation σdB[16].
Readers who are not interested in the technical details of our method can skip to the simulation study that follows.
We are also interested in studying the ability of our method to correctly identify associations between diseases and genes that are less well studied.
Further characterization steps such as in vitro, in vivo releases will be carried out to validate the interest of our encapsulation methods in the development of drug delivery systems.
Later, we will see that for many practical situations of interest, our method performs well empirically.
While comparisons to both controls are of interest and our method applies to both, we focus on the one relative to the positive control.
Given the small size of our areas of interest, our methods included registration techniques designed to maximize intersubject alignment in our areas of interest.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com