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,[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.
For a dynamical systems' approach to discrete network dynamics, see sequential dynamical system.
See also
- Dynamic network analysis
- Neurodynamics
- Gaussian network model
- Neural network
- Gene regulatory network
- Cellular neural network
- Small-world network
- Network planning and design
- Dynamic Bayesian network
- Dynamic single-frequency networks
- Biological network inference
- Dual-phase evolution
- Technology Dynamics
References
- ^ Majdandzic, A.; et al. (2014). "Spontaneous recovery in dynamical networks". Nature Physics. 10 (1): 34–38. doi:10.1038/nphys2819.
- ^ Jan Nagler, Anna Levina, Marc Timme (2011). "Impact of Single Links in Competitive Percolation". Nature Physics. 7: 265–270. doi:10.1038/nphys1860.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ 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. doi:10.1073/pnas.79.8.2554.
.svg){kind=small} | This combinatorics-related article is a stub. You can help Wikipedia by expanding it. |