Abstract In this paper we devise a generative random network model with core–periphery properties whose core nodes act as sublinear dominators , that is, if the has n nodes, size o ( ) and dominates entire network. We show instances generated by exhibit power law degree distributions, incorporates small-world phenomena. also fit our in variety of real-world networks.

Abstract There are many reasons to reform the Stability and Growth Pact, but that is no panacea. This because euro area periphery has increasingly entered a debt conundrum.

A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener. Previous methods such as the widely used Speech Transmission Index (STI) fail to account for masking effects that arise from the highly nonlinear cochlear transfer function. We therefore propose a Neural Articulation...

A popular objective criterion for partitioning a set of actors into core and periphery subsets is the maximization of the correlation between an ideal and observed structure associated with intra-core and intra-periphery ties. The resulting optimization problem has commonly been tackled using heuristic procedures such as relocation algorithms, genetic algorithms, and simulated annealing. In thi...