Discrete autoregressive processes (or DAR(p)) provide a simple way of generating time series with a controlled amount of memory, and so can be used to build time varying networks that themselves have memory. If we take these time varying networks and run processes on top of them we can then look at how these processes react to a change in the influence of memory. Here this network process will take the form of a simple epidemic spreading model and we will see that memory can either speed up or slow down the infections passage through the network.
Discrete Autoregressive Process Networks and Infection Spreading
Tue, 28/02/2017 - 18:00