The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

The impact of the Internet across multiple aspects of modern society is clear. However, the
influence that it may have on our brain structure and functioning remains a central topic of …

Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

Many countries have passed their first COVID-19 epidemic peak. Traditional
epidemiological models describe this as a result of nonpharmaceutical interventions …

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

This paper proposes a novel interconnected multilayer network framework based on
variance decomposition and block aggregation technique, which can be further served as a …

In most natural and engineered systems, a set of entities interact with each other in
complicated patterns that can encompass multiple types of relationships, change in time and …

Many complex systems can be represented as networks consisting of distinct types of
interactions, which can be categorized as links belonging to different layers. For example, a …

We study fifteen months of human mobility data for one and a half million individuals and
find that human mobility traces are highly unique. In fact, in a dataset where the location of …