An invariance principle-based concentration result for large-scale stochastic pairwise interaction network systems
We study stochastic pairwise interaction network systems whereby a finite population of agents, identified with the nodes of a (directed) graph, update their states in response to both individual mutations and pairwise interactions with their neighbors. The considered class of systems includes the main epidemic models —such as the SIS, SIR, and SIRS models—, certain social dynamics models —such as
