Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Petri, Giovanni"'
Autor:
Nguyen, Nghi, Hou, Tao, Amico, Enrico, Zheng, Jingyi, Huang, Huajun, Kaplan, Alan D., Petri, Giovanni, Goñi, Joaquín, Kaufmann, Ralph, Zhao, Yize, Duong-Tran, Duy, Shen, Li
Higher-order properties of functional magnetic resonance imaging (fMRI) induced connectivity have been shown to unravel many exclusive topological and dynamical insights beyond pairwise interactions. Nonetheless, whether these fMRI-induced higher-ord
Externí odkaz:
http://arxiv.org/abs/2407.05060
Despite the widespread adoption of higher-order mathematical structures such as hypergraphs, methodological tools for their analysis lag behind those for traditional graphs. This work addresses a critical gap in this context by proposing two micro-ca
Externí odkaz:
http://arxiv.org/abs/2402.18470
Publikováno v:
EPJ Data Science 13: 50 (2024)
The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temporal dynamics constitute crucial properties that shape the behaviour o
Externí odkaz:
http://arxiv.org/abs/2402.06485
Autor:
Robiglio, Thomas, Neri, Matteo, Coppes, Davide, Agostinelli, Cosimo, Battiston, Federico, Lucas, Maxime, Petri, Giovanni
The interplay between causal mechanisms and emerging collective behaviors is a central aspect of understanding, controlling, and predicting complex networked systems. In our work, we investigate the relationship between higher-order mechanisms and hi
Externí odkaz:
http://arxiv.org/abs/2401.11588
Autor:
Nurisso, Marco, Morandini, Marta, Lucas, Maxime, Vaccarino, Francesco, Gili, Tommaso, Petri, Giovanni
We propose a cross-order Laplacian renormalization group (X-LRG) scheme for arbitrary higher-order networks. The renormalization group is a pillar of the theory of scaling, scale-invariance, and universality in physics. An RG scheme based on diffusio
Externí odkaz:
http://arxiv.org/abs/2401.11298
The bulk of the research effort on brain connectivity revolves around statistical associations among brain regions, which do not directly relate to the causal mechanisms governing brain dynamics. Here we propose the multiscale causal backbone (MCB) o
Externí odkaz:
http://arxiv.org/abs/2311.00118
Publikováno v:
Sci. Adv. 10, ado8049 (2024)
A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this question through linear stability analysis, less is known about how hig
Externí odkaz:
http://arxiv.org/abs/2309.16581
Autor:
Leitão, António, Lucas, Maxime, Poetto, Simone, Hersh, Taylor A., Gero, Shane, Gruber, David, Bronstein, Michael, Petri, Giovanni
We provide quantitative evidence suggesting social learning in sperm whales across socio-cultural boundaries, using acoustic data from the Pacific and Atlantic Oceans. Traditionally, sperm whale populations are categorized into clans based on their v
Externí odkaz:
http://arxiv.org/abs/2307.05304
Autor:
Nurisso, Marco, Arnaudon, Alexis, Lucas, Maxime, Peach, Robert L., Expert, Paul, Vaccarino, Francesco, Petri, Giovanni
Simplicial Kuramoto models have emerged as a diverse and intriguing class of models describing oscillators on simplices rather than nodes. In this paper, we present a unified framework to describe different variants of these models, categorized into
Externí odkaz:
http://arxiv.org/abs/2305.17977
Publikováno v:
Nat. Commun. 14, 6223 (2023)
Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In the resulting hypergraph representation, tools to identify structures and central nodes are scarce. We consider the
Externí odkaz:
http://arxiv.org/abs/2301.04235