From spatial to spectral: Network renormalization via dynamical correlations

Network renormalization has traditionally relied on spatial adjacency—grouping nearby nodes together—but this approach fails to capture the dynamical correlations that govern system-wide behavior in scale-free networks. We present a spectral-space renormalization framework that enables coarse-graini...

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Vydané v:	Chaos, solitons and fractals Ročník 201; s. 117398
Hlavní autori:	Kim, Cook Hyun, Kahng, B.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025
Predmet:	Dynamical Correlations Long-Range Connections Meta-graph algorithm Multiscaling behaviors Spectral space renormalization Multiscaling behaviors Dynamical Correlations Long-Range Connections Spectral space renormalization Meta-graph algorithm
ISSN:	0960-0779
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