GENERALIZED NETWORK CLUSTERING AND ITS DYNAMICAL IMPLICATIONS
THOMAS HOUSE · Advances in Complex Systems · 2010
A parametrization of generalised network clustering, in the form of four-motif prevalences, is presented. This involves three real parameters that are conditional on one-, two- and three-motif prevalences. Interpretations of these real parameters are presented that motivate a set of rewiring schemes to create appropriately clustered networks. Finally, the dynamical implications of higher order structure, as parameterised, for a contact process are considered.