In all empirical-network studies, the observed properties of economic networks are informative only if compared with a well-defined null model that can quantitatively predict the behavior of such properties in constrained graphs. However, predictions of the available null-model methods can be...

Economic systems involve many heterogeneous agents and their complex interactions. These lead many studies, in recent years, to focus on the complex networks. Agent based modelling and simulation (ABMS) is a powerful tool for analyzing such systems. This model enables interacting agents to...

In economic and financial networks, the strength (total value of the connections) of a given node has always an important economic meaning, such as the size of supply and demand, import and export, or financial exposure. Constructing null models of networks matching the observed strengths of all...

Compared with the epidemic spreading, rumor spreading has some specific characteristics. In this paper, we supplement some realistic conditions on previous rumor spreading models, then develop a new rumor spreading model called SIRaRu model. The mean-field equations are derived to describe the...

A decentralized random algorithm for flow distribution in complex networks is proposed. The aim is to maintain the maximum flow while satisfying the flow limits of the nodes and links in the network. The algorithm is also used for flow redistribution after a failure in (or attack on) a complex...

This paper studies the impact of interaction topologies on individual and aggregate behavior in environments with social interactions. We study social interaction games of an infnitely large population with local and global externalities. Local externalities are limited within agents'...

We describe the construction of a large and novel data set on R&D collaboration networks in the first five EU Framework Programmes (FPs), examine key features and provide economic interpretations for our findings. The data set is based on publicly available raw data that pre-sents numerous...

We show how appropriate rewiring with the aid of Metropolis Monte Carlo computational experiments can be exploited to create network topologies possessing prescribed values of the average path length (APL) while keeping the same connectivity degree and clustering coefficient distributions. Using...

Identifying influential nodes in complex networks has attracted much attention because of its great theoretical significance and wide application. Existing methods consider the edges equally when designing identifying methods for the unweighted networks. In this paper, we propose an edge...

The communication infrastructure is a critical component of a large-scale cloud data center. It needs to provide the best performance available while keeping overprovisioning and, lately even more important, power consumption, to the minimum. Aiming to provide a unified solution that will have...