Santa Fe Institute, Santa Fe, NM, USA.
ISI Foundation, Torino, Italy.
Nat Commun. 2023 Mar 23;14(1):1605. doi: 10.1038/s41467-023-37190-9.
Higher-order networks have emerged as a powerful framework to model complex systems and their collective behavior. Going beyond pairwise interactions, they encode structured relations among arbitrary numbers of units through representations such as simplicial complexes and hypergraphs. So far, the choice between simplicial complexes and hypergraphs has often been motivated by technical convenience. Here, using synchronization as an example, we demonstrate that the effects of higher-order interactions are highly representation-dependent. In particular, higher-order interactions typically enhance synchronization in hypergraphs but have the opposite effect in simplicial complexes. We provide theoretical insight by linking the synchronizability of different hypergraph structures to (generalized) degree heterogeneity and cross-order degree correlation, which in turn influence a wide range of dynamical processes from contagion to diffusion. Our findings reveal the hidden impact of higher-order representations on collective dynamics, highlighting the importance of choosing appropriate representations when studying systems with nonpairwise interactions.
高阶网络已成为建模复杂系统及其集体行为的强大框架。它们超越了两两相互作用,通过单纯复形和超图等表示方法对任意数量的单元之间的结构化关系进行编码。到目前为止,单纯复形和超图之间的选择往往是出于技术上的便利。在这里,我们以同步为例,证明了高阶相互作用的效果高度依赖于表示。具体来说,高阶相互作用通常会增强超图中的同步,但在单纯复形中则会产生相反的效果。我们通过将不同超图结构的同步能力与(广义)度异质性和交叉阶度相关性联系起来,提供了理论上的见解,这些相关性反过来又会影响从传染到扩散等广泛的动态过程。我们的发现揭示了高阶表示对集体动力学的隐藏影响,强调了当研究具有非两两相互作用的系统时,选择适当表示的重要性。