Countries become global leaders by controlling international and domestic transactions
connecting geographically dispersed production stages. We model global trade as a multi …

When the interactions of agents on a network are assumed to follow the Deffuant opinion
dynamics model, the outcomes are known to depend on the structure of the underlying …

Nowadays, coaches exploit data analysis in soccer (football) matches to plan their strategies
against opponents. Network science, a subdomain of data analytics, is widely used to …

Random recursive hypergraphs (RRHs) grow by adding, at each step, a vertex and an edge
formed by joining the new vertex to a randomly chosen existing edge. The model is …

Functional networks, which typically describe patterns of activity taking place across the
cerebral cortex, are widely studied in neuroscience. The dynamical features of these …

In our modern time, travel has become one of the most significant factors contributing to
global epidemic spreading. A deficiency in the literature is that travel has largely been …

Nowadays, world rankings are promoted and used by international agencies, governments
and corporations to evaluate country performances in a specific domain, often providing a …

In this paper, we present a novel graph data model to analyze eating habits and physical
activities of a large number of persons, aiming at automatically detect groups of users …

Social interactions are stratified in multiple contexts and are subject to complex temporal
dynamics. The systematic study of these two features of social systems has started only very …

In this study, we discuss the impacts of assortative mixing by mask-wearing on the
effectiveness of mask use in suppressing the propagation of epidemics. We employ the …