集智俱乐部 2025年06月04日 21:02 上海

复杂网络中的动力学过程已成为多个学科的研究热点，实证研究表明，这些过程是许多重要现象的根源。本报告将探讨两类特殊的动力学过程：共演化动力学和远离平衡态的动力学过程。首先，我们提出了一个结合节点行为与网络结构共同演化的框架，揭示了共演化动力学下，网络会涌现节点属性与结构的协同极化、信息同质化等非平凡现象，并通过大规模实证数据验证了这一理论。其次，远离平衡态的复杂网络表现出非平衡态临界行为，这些行为与传统平衡态理论及量子非平衡态预期有显著差异。本报告将展示网络中的动力学相变与关联性生长两类典型现象，揭示非平衡态动力学如何推动复杂网络结构的演化及临界现象的涌现，强调非线性机制在其中的关键作用。

共演化网络动力学，coevolving network dynamics

随机热力学，stochastic thermodynamics

福克普朗克方程，Fokker-Planck equations

动态相变，dynamical phase transition

非平衡复杂网络，non-equilibrium networks

清华大学水木博士后、清华大学电子工程系张克潜冠名博士后。入选国家级博士后人才计划。本科毕业于山东大学空间科学与物理专业。博士毕业于美国迈阿密大学（University of Miami）物理专业，导师为Chaoming Song教授。研究方向为复杂系统和统计物理，侧重于发展可解析理论模型并应用于复杂系统和复杂网络以及相关交叉学科研究。以（共同）第一作者在Physical Review Letters、Nature Machine Intelligence等期刊上发表科研成果。其研究成果被Nature Machine Intelligence、Physics World公开报道。

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