Computer Science
Higher-order correlations reveal complex memory in temporal hypergraphs
L. Gallo, L. Lacasa, et al.
Using time-varying hypergraphs and a framework of higher-order correlations, this study uncovers coherent, interdependent mesoscopic structures in human interaction data—capturing aggregation, fragmentation, and nucleation—and introduces a model of temporal hypergraphs with non-Markovian group interactions that reveals complex memory as a key mechanism. Research conducted by Luca Gallo, Lucas Lacasa, Vito Latora, and Federico Battiston.
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