Dynamical Processes on Time-Varying Networks
The study of dynamical processes on complex networks has been focused mostly in two limits: the timescale describing the evolution of the process is usually considered either much slower or much faster than the timescale describing the change of the network. In the first case the graph is considered as static. In the second case instead the graph is considered as annealed.
However, in many cases the two timescales are comparable and cannot be decoupled. The time duration and the co-occurrence of links is crucial. The understanding and characterization of this limit of timescale mixing is still partial, limited, and a very popular topic in networks science.
However, in many cases the two timescales are comparable and cannot be decoupled. The time duration and the co-occurrence of links is crucial. The understanding and characterization of this limit of timescale mixing is still partial, limited, and a very popular topic in networks science.
