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Networked dynamical systems are hard to predict because their structure doesn't always determine their behavior. Researchers looked at how well network measures and machine learning can capture this relationship. It's still unclear how well these methods work for complex systems.
“arXiv:2402.17500v2 Announce Type: replace-cross Abstract: A central question of network science is how functional properties of systems emerge from their structure. For networked dynamical systems, structure is typically captured through ne…”
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arXiv:2402.17500v2
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Aug 7, 2026