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Titlebook: Complex Networks; Second International Luciano F. Costa,Alexandre Evsukoff,Ronaldo Meneze Conference proceedings 2011 Springer-Verlag GmbH

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Hybrid Complex Network Topologies Are Preferred for Component-Subscription in Large-Scale Data-Centrtween SW and SF (0< . <1). We find that the best scores for system-level performance metrics of the simulated data-centres are given by “hybrid” values of . significantly different from pure-SW or pure-SF.
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Composites Science and Technologyangles are added independently instead of being constrained in a layer, the first-order phase transition holds for the very same critical probability. Thus, we provide an insight showing that models can be equivalent, regardless of whether edges are added with grouping constraints. Our detailed comp
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Worst Imperfection: Asymptotic Theorytwo separate correlations of in-degree against the activity occurring inside and outside the border. These findings pave the way to investigations of possibly similar behavior in other directed complex networks.
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Arkadii Kh. Gelig,Alexander N. Churilovcted on Brazilian MSM. Overall, RDS performed well, showing it is a valid strategy to assess hidden populations. However, the proper analysis of underlying network structures and patterns of disease spread should be emphasized as a source of potential estimate biases.
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Stability and Perfection of Nash Equilibriafers in that it looks at a single project and studies the relationships between the developers using the source code they create or work on. We begin our analysis with a description of the basic characteristics of the networks used in this project. We follow with the main contribution of this work w
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Stability and Perfection of Nash Equilibriatween SW and SF (0< . <1). We find that the best scores for system-level performance metrics of the simulated data-centres are given by “hybrid” values of . significantly different from pure-SW or pure-SF.
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Control Systems with an Algebraic Loop,ities belonging to the chemical sector— have the highest similarity with aggregate trade communities; (ii) both at aggregated and disaggregated levels, physical variables such as geographical distance are more correlated with the observed trade fluxes than regional-trade agreements.
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