标题： 可变换性揭示了不同网络阶动态之间的相互作用 显示英文标题

标题： Transformability reveals the interplay of dynamics across different network orders

摘要： 最近的研究已经调查了在现实世界系统中表征集体行为的各种动态过程。 然而，这些动态已经在特定的背景下被单独研究。 在本文中，我们提出了一种整体分析框架，连接不同阶网络之间的动态相互作用，证明这些过程并不是独立的，而是可以经历系统性转换。 专注于传播动态，我们识别并量化了解释高阶和成对网络上动态之间相互作用的动力学和结构因素，揭示了一个由这些因素支配的系统不稳定的普遍模型。 此外，我们将传播动态的发现验证到意见动态中，突显其在各种动态过程中的广泛适用性。 我们的发现揭示了多种动态过程之间的内在耦合，为由高阶相互作用所主导的复杂动态的不同作用提供了新的见解。 显示英文摘要

摘要： Recent studies have investigated various dynamic processes characterizing collective behaviors in real-world systems. However, these dynamics have been studied individually in specific contexts. In this article, we present a holistic analysis framework that bridges the interplays between dynamics across networks of different orders, demonstrating that these processes are not independent but can undergo systematic transformations. Focusing on contagion dynamics, we identify and quantify dynamical and structural factors that explains the interplay between dynamics on higher-order and pairwise networks, uncovering a universal model for system instability governed by these factors. Furthermore, we validate the findings from contagion dynamics to opinion dynamics, highlighting its broader applicability across diverse dynamical processes. Our findings reveal the intrinsic coupling between diverse dynamical processes, providing fresh insights into the distinct role of complex dynamics governed by higher-order interactions.