Before revision:  By coupling "Markov-chain layers" versus "network layers", we identify novel multiplexity-induced phenomena includingmultiplex imbalance (whereby the multiplex coupling of reversible Markov chains yields an irreversible one) andmultiplex convection ( whereby a stationary distribution exhibits circulating flows that involve multiple layers ). These phenomena (as well as the convergence rate \lambda_2) are found to exhibit optima for intermediate \omega, and we explore their relation to imbalances for the intralayer degrees of nodes .
After revision:  By coupling "Markov-chain layers" versus "network layers", we identify novel multiplexity-induced phenomena includingmultiplex imbalance (whereby the multiplex coupling of reversible Markov chains yields an irreversible one) andmultiplex convection ( whereby a stationary distribution exhibits circulating flows that involve multiple layers . Convection cycles are well understood in fluids, but are insufficiently explored on networks. Our experiments reveal that one mechanism for convection is the existence of imbalances for the intralayer degrees of nodes .