Network dynamics
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. For a dynamical systems' approach to discrete network dynamics, see sequential dynamical system.
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][4] 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.
For a dynamical systems' approach to discrete network dynamics, see sequential dynamical system.
See also
[edit]- Biological network inference
- Cellular neural network
- Dual-phase evolution
- Dynamic Bayesian network
- Dynamic network analysis
- Dynamic single-frequency networks
- Gaussian network model
- Gene regulatory network
- Gradient network
- Network planning and design
- Neural network
- Neurodynamics
- Small-world network
- Technology Dynamics
References
[edit]- ^ 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.
- ^ Jianxi Gao; Baruch Barzel; Albert-László Barabási (2016). "Universal resilience patterns in complex networks". Nature. 530 (7590): 307–312. Bibcode:2016Natur.530..307G. doi:10.1038/nature16948. PMID 26887493. S2CID 4409052.
.svg){kind=small} | This combinatorics-related article is a stub. You can help Wikipedia by adding missing information. |