Markovian node activity fluctuations generate longer-tailed interevent times and autocorrelations in temporal hypergraphs, with size-dependent features matching empirical data.
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Chaos in higher-order coupled oscillator networks is organized by effective-frequency shear from amplitude heterogeneity, not by phase coherence.
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Modeling non-Poissonian temporal hypergraphs by Markovian node dynamics
Markovian node activity fluctuations generate longer-tailed interevent times and autocorrelations in temporal hypergraphs, with size-dependent features matching empirical data.
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Shear, Not Coherence, Organizes chaotic response under Higher-Order Coupling
Chaos in higher-order coupled oscillator networks is organized by effective-frequency shear from amplitude heterogeneity, not by phase coherence.