# Network dynamics

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{{Short description|Research field}}
'''Network dynamics''' is a research field for the study of [networks](/source/Network_theory) whose status changes in time. The dynamics may refer to the structure of connections of the units of a network,<ref name="mpbkhs"/><ref name="jnng"/> to the collective internal state of the network,<ref name="jjham"/><ref name="jgnat"/>  or both. The networked systems could be from the fields of [biology](/source/biology), [chemistry](/source/chemistry), [physics](/source/physics), [sociology](/source/sociology), [economics](/source/economics), [computer science](/source/computer_science), etc. Networked systems are typically characterized as [complex systems](/source/complex_systems) consisting of many units coupled by specific, potentially changing, interaction topologies.

For a [dynamical systems](/source/dynamical_systems)' approach to discrete network dynamics, see [sequential dynamical system](/source/sequential_dynamical_system).

==See also==
{{cmn|colwidth=30em|
* [Biological network inference](/source/Biological_network_inference)
* [Cellular neural network](/source/Cellular_neural_network)
* [Dual-phase evolution](/source/Dual-phase_evolution)
* [Dynamic Bayesian network](/source/Dynamic_Bayesian_network)
* [Dynamic network analysis](/source/Dynamic_network_analysis)
* [Dynamic single-frequency networks](/source/Dynamic_single-frequency_networks)
* [Gaussian network model](/source/Gaussian_network_model)
* [Gene regulatory network](/source/Gene_regulatory_network)
* [Gradient network](/source/Gradient_network)
* [Network planning and design](/source/Network_planning_and_design)
* [Neural network](/source/Neural_network)
* [Neurodynamics](/source/Neurodynamics)
* [Small-world network](/source/Small-world_network)
* [Technology Dynamics](/source/Technology_Dynamics)
}}

==References==

{{Reflist|refs=

<ref name="mpbkhs">{{cite journal|author=Majdandzic, A.|title=Spontaneous recovery in dynamical networks|journal= Nature Physics |volume=10 |issue=1 |pages=34–38 |year=2014|display-authors=etal |doi=10.1038/nphys2819 |bibcode=2014NatPh..10...34M|doi-access=free}}</ref>

<ref name="jnng">{{cite journal|author1=Jan Nagler |author2=Anna Levina |author3=Marc Timme |title=Impact of Single Links in Competitive Percolation|journal=Nature Physics |volume=7 |issue=3 |pages=265–270 |year=2011 |doi=10.1038/nphys1860|arxiv=1103.0922|bibcode=2011NatPh...7..265N |s2cid=2809783}}</ref>

<ref name="jjham">{{cite journal|author=John J. Hopfield|title=Neural networks and physical systems with emergent collective computational abilities |journal=Proceedings of the National Academy of Sciences of the USA |volume=79 |number =8  |pages=2554–2558 |year=1982 |doi=10.1073/pnas.79.8.2554 |pmid=6953413 |pmc=346238|bibcode=1982PNAS...79.2554H|doi-access=free }}</ref>

<ref name="jgnat">{{cite journal|author=Jianxi Gao |author2=[Baruch Barzel](/source/Baruch_Barzel) |author3=[Albert-László Barabási](/source/Albert-L%C3%A1szl%C3%B3_Barab%C3%A1si) |title=Universal resilience patterns in complex networks |journal=Nature |volume=530 |pages=307–312 |year=2016 |issue=7590 |doi=10.1038/nature16948 |pmid=26887493 |bibcode=2016Natur.530..307G |s2cid=4409052 }}</ref>

}}

Category:Networks

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