Humans regularly solve complex problems in cooperative teams. A wide range of
mechanisms have been identified that improve the quality of solutions achieved by those …

Networks provide a powerful formalism for modeling complex systems by using a model of
pairwise interactions. But much of the structure within these systems involves interactions …

Introduced in its contemporary form in 1946 (ref. 1), but with roots that go back to the
eighteenth century 2, the gravity law 1, 3, 4 is the prevailing framework with which to predict …

Large-scale white matter pathways crisscrossing the cortex create a complex pattern of
connectivity that underlies human cognitive function. Generative mechanisms for this …

An empirical analysis of the Italian system of banks and firms is carried out using the network
theory. The emerging architecture of this economic network shows peculiar behaviors:(i) …

A model, applicable to a range of innovation diffusion applications with a strong peer-to-peer
component, is developed and studied, along with methods for its investigation and analysis …

In many social complex systems, in which agents are linked by non-linear interactions, the
history of events strongly influences the whole network dynamics. However, a class of …

Error affects most human judgments and communications. Here we consider two types of
error: unbiased noise and directional biases, and consider their effects in the context of …

We develop a sequence of models describing information transmission and decision
dynamics for a network of individual agents subject to multiple sources of influence. Our …

We address and discuss recent trends in the analysis of big data sets, with the emphasis on
studying multiscale phenomena. Applications of big data analysis in different scientific fields …