网络动态学
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Network dynamics is a research field for the study of networks whose status changes in time. The dynamics may refer to the structure of connections of the units of a network,[1][2] to the collective internal state of the network,[3] or both. The networked systems could be from the fields of biology, chemistry, physics, sociology, economics, computer science, etc. Networked systems are typically characterized as complex systems consisting of many units coupled by specific, potentially changing, interaction topologies.
Network dynamics is a research field for the study of networks whose status changes in time. The dynamics may refer to the structure of connections of the units of a network, to the collective internal state of the network, or both. The networked systems could be from the fields of biology, chemistry, physics, sociology, economics, computer science, etc. Networked systems are typically characterized as complex systems consisting of many units coupled by specific, potentially changing, interaction topologies.
网络动力学是研究状态随时间变化的网络的一个研究领域。动态可以指网络单元的连接结构，也可以指网络的集体内部状态，或者两者兼而有之。网络系统可以来自生物学、化学、物理学、社会学、经济学、计算机科学等领域。网络系统的典型特征是由许多单元组成的复杂系统，这些单元通过特定的、可能发生变化的交互拓扑耦合在一起。
For a dynamical systems' approach to discrete network dynamics, see sequential dynamical system.
For a dynamical systems' approach to discrete network dynamics, see sequential dynamical system.
有关动态系统的离散网络动力学方法，请参阅顺序动力系统。
See also
References
References
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Category:Networks
分类: 网络
This page was moved from wikipedia:en:Network dynamics. Its edit history can be viewed at 网络动态学/edithistory
- ↑ Majdandzic, A.; et al. (2014). "Spontaneous recovery in dynamical networks". Nature Physics. 10 (1): 34–38. Bibcode:2014NatPh..10...34M. doi:10.1038/nphys2819.
- ↑ Jan Nagler; Anna Levina; Marc Timme (2011). "Impact of Single Links in Competitive Percolation". Nature Physics. 7 (3): 265–270. arXiv:1103.0922. Bibcode:2011NatPh...7..265N. doi:10.1038/nphys1860. S2CID 2809783.
- ↑ John J. Hopfield (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences of the USA. 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. doi:10.1073/pnas.79.8.2554. PMC 346238. PMID 6953413.