Computational analysis of networks and functions. It remains elusive why networks containing the same core have substantially different abilities to sustain function. We aim to address a fundamental question in the field—what are the ‘simple rules’ that promote the robust performance of biological systems? To identify universal rules independent of any chosen systems, we generate a comprehensive mapping from the entire topology space to the function space. We further integrate the network enumeration with LASSO statistics and Latin Hypercube sampling (LHS) and develop a powerful method to search for hidden network motifs.