Rich-club, assortativity and clustering coefficients are frequently used measures to estimate
topological properties of complex networks. Here we find that the connectivity among a very …

The inclusion of link weights into the analysis of network properties allows a deeper insight
into the (often overlapping) modular structure of real-world webs. We introduce a clustering …

The clustering coefficient quantifies how well connected are the neighbors of a vertex in a
graph. In real networks it decreases with the vertex degree, which has been taken as a …

We construct a connected network of 3.9 million nodes from mobile phone call records,
which can be regarded as a proxy for the underlying human communication network at the …

This paper studies the statistical properties of the web of import-export relationships among
world countries using a weighted-network approach. We analyze how the distributions of the …

In recent years, researchers have investigated a growing number of weighted networks
where ties are differentiated according to their strength or capacity. Yet, most network …

Networked structures arise in a wide array of different contexts such as technological and
transportation infrastructures, social phenomena, and biological systems. These highly …

Complex systems may also 1 emerge from a large number of interdependent and interacting
elements. Networks have proven to be effective models of natural or man-made complex …

Among the proposed network models, the hidden variable (or good get richer) one is
particularly interesting, even if an explicit empirical test of its hypotheses has not yet been …

While the majority of approaches to the characterization of complex networks has relied on
measurements considering only the immediate neighborhood of each network node …