The boxplots of the backbone extraction methods rank based on the Kolmogorov-Smirnov statistic between the cumulative degree distribution of each filtering technique and the original network across all networks.

The boxplots of the backbone extraction methods rank based on the Kolmogorov-Smirnov statistic between the cumulative degree distribution of each filtering technique and the original network across all networks.

<p>Techniques include: Marginal Likelihood Filter (MLF), Disparity Filter (DF), Local Adaptive Network Sparsification (LANS), Polya Urn Filter (PF), Noise-Corrected Filter (NC), and Global Statistical Significance Filter (GloSS).</p>

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Bibliographic Details
Main Author:	Ali Yassin (1671982) (author)
Other Authors:	Hocine Cherifi (8177628) (author), Hamida Seba (15573133) (author), Olivier Togni (20501355) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Cell Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified method &# 8217 similarity analysis reveals distribution analysis highlights mlf filters excel statistical edge filtering original weight distribution lans filter preserves backbone extraction process filtering process expediting analysis disparity filter correlation analysis backbone extraction edge fraction edge features degree distribution xlink "> weight fraction weight entropy similar capability results suggest previous one output encapsulates node fraction network applications lower significance limited influence high degrees enhancing visualization backbones extracted backbones derived
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