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 …

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 …

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 …

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 …

Despite the success of traditional network analysis, standard networks provide a limited
representation of complex systems, which often include different types of relationships (or …

Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …

Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …

Although networks provide a powerful approach to study a large variety of ecological
systems, their formulation does not typically account for multiple interaction types …

Multilayer relationships among entities and information about entities must be accompanied
by the means to analyse, visualize and obtain insights from such data. We present open …

A network representation is useful for describing the structure of a large variety of complex
systems. However, most real and engineered systems have multiple subsystems and layers …