We investigate diffusion through dynamic network structures modeled by the Ising paradigm both at the infinite temperature condition - random dynamic percolation (RDP) limit - and at finite temperatures. In a 2d system the simulations yielded exponents for the diffusion coefficients that were consistent with other published theoretical results we are aware of at the RDP limit. These exponents showed very little change at the finite temperatures we investigated. This study suggests that the computational paradigm presented will be useful for theoretically investigating transport in systems exhibiting dynamic disorder, e.g. conductance behavior in supercritical microemulsion mixtures. (c) 2007 Elsevier B.V. All rights reserved.