Mixture models are probabilistic aimed at uncovering and representing latent subgroups within a population. In the realm of network data analysis, nodes typically identified by their connectivity behaviour, with behaving similarly belonging to same community. this context, mixture modelling is pursued through stochastic blockmodelling. We consider blockmodels some variants extensions from persp...

Resilience of the most important properties of stochastic and regular (deterministic) small-world interconnection networks is studied. It is shown that in the broad range of values of the fraction of faulty nodes the networks under consideration possess high fault tolerance, the deterministic networks being slightly better than the stochastic ones.

in many practical distribution networks, managers face significant uncertainties in demand, local price of building facilities, transportation cost, and macro and microeconomic parameters. this paper addresses design of distribution networks in a supply chain system which optimizes the performance of distribution networks subject to required service level. this service level, which is considere...

We study the effects of periodic subthreshold pacemaker activity and time-delayed coupling on stochastic resonance over scale-free neuronal networks. As the two extreme options, we introduce the pacemaker, respectively, to the neuron with the highest degree and to one of the neurons with the lowest degree within the network, but we also consider the case when all neurons are exposed to the peri...