Characterising Steady-State Topologies of SIS Dynamics on Adaptive Networks

Abstract

Disease awareness in epidemiology can be modelled with adaptive contact networks, where the interplay of disease dynamics and network alteration often adds new phases to the standard models ([1], [2]) and, in stochastic simulations, lets network topology settle down to a steady state that can be static (in the frozen phase) or dynamic (in the endemic phase… (More)

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