A generalized reduction method for the connectedness probability of stochastic networks

The connectedness probability of a stochastic network is computed by a generalized approach to network reduction. The approach is based on separating-vertex-sets and on introducing more than one replacement graph. Computational aspects are discussed, and examples are presented.<
>