这篇发表于 Nature Reviews Physics 的最新综述文章基于这种数学框架,综合评述了用于分析复杂网络鲁棒性和韧性的理论和计算方法。在此基础上讨论了减轻扰动影响的最新策略,包括设计更具鲁棒性的系统、识别早期预警信号以及适应性响应策略。在应用层面,文章比较了当前最先进的网络瓦解技术的性能,并强调了它们在解决实际问题...
Elements in Structure and Dynamics of Complex Networks (Cambridge Univ. Press, 2022). Domenico, M. D. More is different in real-world multilayer networks. Nat. Phys.19, 1247–1262 (2023). Lambiotte, R., Rosvall, M. & Scholtes...
论文题目:Higher-order Granger reservoir computing: Simultaneously achieving scalable complex structures inference and accurate dynamics prediction 论文作者:李鑫,朱群喜,赵城利,段晓君,赵柏林,张雪,马欢飞,孙杰,林伟 论文链接:https://doi.org/10.1038/s41467-024-46852-1 报道链接:https://techxplore.com/news/...
事实上,这种整体处理方法已被用于研究各种复杂系统,包括生物(从细胞生物学[3-5]到神经回路[6-8]和生态食物网[9-11])、技术(从耦合的基础设施[12,13]到通讯系统[14,15])和社会系统(从社会技术关系[16-19]到动物互动[20,21]),加强了...
5. 方法的适用性 6. 展望 1. 绪论 网络科学是对复杂系统的研究,该系统由基本单元 (以节点表示) 和它们的相互作用或关系 (以链接表示) 组成[1,2]。这种数学抽象提供了将相互作用的系统作为一个整体来研究的机会,并使我们能够发现重要的见解。如果我们将系统作为一个简单的单元集合来研究,我们可能会错过这些见解...
The physics of freezing and melting in the presence of flows The dynamics of water freezing and ice melting in natural environments involves many intricate fluid mechanics processes. To tackle these complexities, examining them in well-controlled laboratory settings proves highly advantageous. ...
MuJoCo Physics MuJoCostands forMulti-Joint dynamics withContact. It is a general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures...
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization Feed-forward neural networks have become powerful tools in machine learning, but their behaviour during optimization is still not well understood. Ciceri and colleagues find that during optimization, class repre...
这篇发表于 Nature Reviews Physics 的最新综述文章基于这种数学框架,综合评述了用于分析复杂网络鲁棒性和韧性的理论和计算方法。在此基础上讨论了减轻扰动影响的最新策略,包括设计更具鲁棒性的系统、识别早期预警信号以及适应性响应策略。在应用层面,文章比较了当前最先进的网络瓦解技术的性能,并强调了它们在解决实际问题...
et al. The structure and dynamics of multilayer networks. Phys. Rep.544, 1–122 (2014). Bianconi, G. Multilayer Networks: Structure and Function (Oxford Univ. Press, 2018). Kenett, D. Y., Perc, M. & Boccaletti, S. Netwo...