  This paper is Part II of a two-part series devoting to the study of
systematic measures in a complex bio-network modeled by a system of ordinary
differential equations. In this part, we quantify several systematic measures
of a biological network including degeneracy, complexity and robustness. We
will apply the theory of stochastic differential equations to define degeneracy
and complexity for a bio-network. Robustness of the network will be defined
according to the strength of attractions to the global attractor. Based on the
study of stationary probability measures and entropy made in Part I of the
series, we will investigate some fundamental properties of these systematic
measures, in particular the connections between degeneracy, complexity and
robustness.
