Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning

This paper presents a methodology combining Network Science (NS) and Explainable Machine Learning (XML) that could hypothetically uncover shared principles across seemingly disparate scientific domains. As an example, it presents how the approach could be applied to four fields: materials science, n...

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Bibliographic Details
Main Authors: Daniele Caligiore, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Complex Systems
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Online Access:https://www.frontiersin.org/articles/10.3389/fcpxs.2025.1604132/full
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