Mathematical models of networked systems usually take the form of large-scale, nonlinear differential equations. Model reduction is a commonly used technique for understanding and analyzing systems of this size, by producing simplified yet accurate descriptions for them. Most available reduction methods work well for linear system descriptions or small-scale nonlinear system descriptions but they usually involve a state transformation to 'balance' the system before truncation. However, linear...