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The two faces of network dynamics Evolving network models describe the dynamics/assembly/evolutionEvolving network models describe the dynamics/assembly/evolution
 

Summary: The two faces of network dynamics
Evolving network models describe the dynamics/assembly/evolutionEvolving network models describe the dynamics/assembly/evolution
of networks by the addition/removal of nodes and edges.
It is possible to have network dynamics even if there are no
node/edge additions/removals i e the network is fixed This can benode/edge additions/removals, i.e. the network is fixed. This can be
called dynamics on the network.
In many networks node attributes can change in time or depending onIn many networks node attributes can change in time or depending on
context. E.g.
· the abundance of chemicals in a chemical reaction network
· the health status of individuals in a disease contact network· the health status of individuals in a disease contact network
For these networks it is not enough to specify the nodes and edges,
we also need to define a node state ( e g a continuous variable or awe also need to define a node state ( e.g. a continuous variable, or a
discrete category).
E h d ' t t i d t i d b th t t f th d dj t tEach node's state is determined by the states of the nodes adjacent to
it (in directed networks the orientation of the edges should be toward
the regulated node).
Understanding the dynamics and function of
molecular/cellular networks
Cells are complex systems
· functionally diverse elements

  

Source: Albert, Réka - Departments of Biology & Physics, Pennsylvania State University

 

Collections: Biology and Medicine