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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Memory-biased random walks drive network avalanches where dissipative stress transfer stabilizes broad finite cascades on Watts-Strogatz graphs while fixed transfer produces runaways, and shuffled controls show dissipation dominates memory ordering.
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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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Dissipative Avalanche Regimes Driven by Memory-Biased Random Walks on Networks
Memory-biased random walks drive network avalanches where dissipative stress transfer stabilizes broad finite cascades on Watts-Strogatz graphs while fixed transfer produces runaways, and shuffled controls show dissipation dominates memory ordering.