Teng Liu (刘腾)1, Gao-Ke Hu (胡高科)1, Jia-Qi Dong (董家奇)2, et al. Renormalization Group Theory of Eigen Microstates. Chinese Physics Letters, 2022，https://iopscience.iop.org/article/10.1088/0256-307X/39/8/080503/metaJingfang Fan, Jun Meng, Josef Ludescher, et al. Statistical physics approaches to the complex Earth system. Physics Reports, 2020，https://www.sciencedirect.com/science/article/pii/S0370157320303458Yu Sun，Gaoke Hu，Yongwen Zhang，Bo Lu，Zhenghui Lu，Jingfang Fan，Xiaoteng Li，Qimin Deng，Xiaosong Chen. Eigen microstates and their evolutions in complex systems。Commun. Theor. Phys,2021. DOI 10.1088/1572-9494/abf127Ian Fox, Lynn Ang, Mamta Jaiswal, et al. Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories. arXiv:1806.05357, 2018Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, et al. Graph networks as learnable physics engines for inference and control. arXiv:1806.01242, 2018Petar Veličković, Lars Buesing, Matthew C. Overlan, et al. Pointer Graph Networks. arXiv:2006.06380, 2020Zhang, Z., Zhao, Y., Liu, J. et al. A general deep learning framework for network reconstruction and dynamics learning. Appl Netw Sci,2019. https://doi.org/10.1007/s41109-019-0194-4Alex Tank, Ian Covert, Nicholas Foti, et al. Neural Granger Causality for Nonlinear Time Series. arXiv:1802.05842, 2018Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, et al. Neural Relational Inference for Interacting Systems. arXiv:1802.04687, 2018Jason Wei, Yi Tay, Rishi Bommasani, et al. Emergent Abilities of Large Language Models. arXiv:2206.07682, 2022John J. Nay. 137 emergent abilitiesURI Wilensky and William Rand. An introduction to Agent-based modeling.https://www.intro-to-abm.com/Tamás Vicsek; András Czirók; Eshel Ben-Jacob; Inon Cohen; Ofer Shochet. Novel Type of Phase Transition in a System of Self-Driven Particles. Physical Review Letters, 1994,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.75.1226Couzin I D, Krause J, James R, et al. Collective memory and spatial sorting in animal groups.[J]. Journal of Theoretical Biology. 2002, https://www.sciencedirect.com/science/article/abs/pii/S0022519302930651 Gautrais J, Ginelli F, Fournier R, et al. Deciphering interactions in moving animal groups[J]. 2012.https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002678江世杰,韩战钢.复杂系统研究中基于agent的模型化方法[J].上海理工大学学报,2011,33(2).https://www.cnki.com.cn/Article/CJFDTotal-HDGY201102005.htmG Lin, Z Han, A Shee, C Huepe, et al. Noise-Induced Quenched Disorder in Dense Active Systems[J]. Physical review letters, 2023.https://sss.bnu.edu.cn/docs/2024-05/3e3e66aa859e4597a744fdca45c6e6ec.pdfYuhan Chen, Qixiang Lin, Xuhong Liao, Changsong Zhou, Yong He; Association of aerobic glycolysis with the structural connectome reveals a benefit-risk balancing mechanism in the human brain, Proceedings of the National Academy of Sciences, 2020, 118(1): e2013232118. https://www.pnas.org/doi/10.1073/pnas.2013232118Yuhan Chen, Zi-Ke Zhang, Yong He, Changsong Zhou; A large-scale high-density weighted structural connectome of the macaque brain acquired by predicting missing links, Cerebral Cortex, 2020, 30(9): 4771-4789. https://academic.oup.com/cercor/article/30/9/4771/5823076Laura E. Suárez,et al.,A large-scale high-density weighted structural Brain Networks, Trends in Cognitive Sciences(2020).https://doi.org/10.1016/j.tics.2020.01.008.van den Heuvel, M.P., Sporns, O. A cross-disorder connectome landscape of brain dysconnectivity. Nat Rev Neurosci20, 435–446 (2019). https://doi.org/10.1038/s41583-019-0177-6Yuhan Chen, Shengjun Wang, Claus C.Hilgetag, Changsong Zhou; Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency, PLOS Computational Biology, 2017, 13(9): e1005776. https://doi.org/10.1371/journal.pcbi.1005776Zeng, A., Shen, Z., Zhou, J. et al. Increasing trend of scientists to switch between topics. Nat Commun10, 3439 (2019). https://doi.org/10.1038/s41467-019-11401-8Zeng, A., Fan, Y., Di, Z. et al. Fresh teams are associated with original and multidisciplinary research. Nat Hum Behav5, 1314–1322 (2021). https://doi.org/10.1038/s41562-021-01084-xH. Li, C.J. Tessone, & A. Zeng, Productive scientists are associated with lower disruption in scientific publishing, Proc. Natl. Acad. Sci. U.S.A. 121 (21) e2322462121, https://doi.org/10.1073/pnas.2322462121 (2024).A. Zeng, Y. Fan, Z. Di, Y. Wang, & S. Havlin, Impactful scientists have higher tendency to involve collaborators in new topics, Proc. Natl. Acad. Sci. U.S.A. 119 (33) e2207436119, https://doi.org/10.1073/pnas.2207436119 (2022).Xing, Y., Ma, Y., Fan, Y. et al. Academic mentees thrive in big groups, but survive in small groups. Nat Hum Behav9, 902–916 (2025). https://doi.org/10.1038/s41562-025-02114-8Deng, N., Gu, X., Fan, Y. et al. The critical role of persistent disruption in advancing science. Nat Comput Sci (2025). https://doi.org/10.1038/s43588-025-00808-7 复杂系统和复杂性简介——经典、前沿论文推荐：https://pattern.swarma.org/article/66复杂系统自动建模必读论文列表：https://pattern.swarma.org/article/20面向复杂系统的人工智能读书会论文列表：https://pattern.swarma.org/article/79复杂网络动力学系统重构文献：https://pattern.swarma.org/article/28复杂系统中多主体建模入门路径：https://pattern.swarma.org/article/19「生命—信息—物理」生命复杂性读书会论文清单：https://pattern.swarma.org/article/105复杂经济学读书会论文清单：https://pattern.swarma.org/article/109
