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In this paper, we propose a model order reduction method for SISO linear dynamical networks, where a large number of subsystems are interacted according to a network. In this method, the structure of spatially onedimensional reaction-diffusion that a SISO linear dynamical network intrinsically has is extracted by way of Householder transformation ordering the state variables according to the distance from the source (i.e., an input) of the diffusion. Based on this structure, a model orderdoi:10.9746/sicetr.46.774 fatcat:26yzgaly5zgo3gznmbzi3racmu