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.
- ^ Jan Nagler, Anna Levina, Marc Timme (2011). "Impact of Single Links in Competitive Percolation". Nature Physics. 7: 265–270.
{{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.
.svg?lang=en){kind=small} | This combinatorics-related article is a stub. You can help Wikipedia by expanding it. |