The physics of higher-order interactions in complex systems. Battiston, F., Amico, E., Barrat, A., Bianconi, G., Ferraz de Arruda, G., Franceschiello, B., Iacopini, I., Kéfi, S., Latora, V., Moreno, Y., Murray, M. M., Peixoto, T. P., Vaccarino, F., & Petri, G. Nature Physics, 17(10):1093–1098, Nature Publishing Group, October, 2021.
Paper doi abstract bibtex Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order interactions involving groups of three or more units. Higher-order structures, such as hypergraphs and simplicial complexes, are therefore a better tool to map the real organization of many social, biological and man-made systems. Here, we highlight recent evidence of collective behaviours induced by higher-order interactions, and we outline three key challenges for the physics of higher-order systems.
@article{battistonPhysicsHigherorderInteractions2021,
title = {The physics of higher-order interactions in complex systems},
volume = {17},
copyright = {2021 Springer Nature Limited},
issn = {1745-2481},
url = {https://www.nature.com/articles/s41567-021-01371-4},
doi = {10.1038/s41567-021-01371-4},
abstract = {Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order interactions involving groups of three or more units. Higher-order structures, such as hypergraphs and simplicial complexes, are therefore a better tool to map the real organization of many social, biological and man-made systems. Here, we highlight recent evidence of collective behaviours induced by higher-order interactions, and we outline three key challenges for the physics of higher-order systems.},
language = {en},
number = {10},
urldate = {2026-02-10},
journal = {Nature Physics},
publisher = {Nature Publishing Group},
author = {Battiston, Federico and Amico, Enrico and Barrat, Alain and Bianconi, Ginestra and Ferraz de Arruda, Guilherme and Franceschiello, Benedetta and Iacopini, Iacopo and Kéfi, Sonia and Latora, Vito and Moreno, Yamir and Murray, Micah M. and Peixoto, Tiago P. and Vaccarino, Francesco and Petri, Giovanni},
month = oct,
year = {2021},
keywords = {Applied mathematics, Complex networks, Information theory and computation},
pages = {1093--1098},
}
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