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

In the nearly seven decades since the publication of Alan Turing's work on morphogenesis,
enormous progress has been made in understanding both the mathematical and biological …

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 …

Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

The spontaneous emergence of patterns in nature, such as stripes and spots, can be
mathematically explained by reaction-diffusion systems. These patterns are often referred as …

Networks are a widely used and efficient paradigm to model real-world systems where basic
units interact pairwise. Many body interactions are often at play, and cannot be modelled by …

Many real-world complex systems are best modeled by multiplex networks of interacting
network layers. The multiplex network study is one of the newest and hottest themes in the …

In the face of persistent threats posed by infectious diseases, despite remarkable medical
advancements, understanding and efficiently controlling their spatial spread through …

The advances in understanding complex networks have generated increasing interest in
dynamical processes occurring on them. Pattern formation in activator-inhibitor systems has …

Infectious diseases are a major threat to global health. Spatial patterns revealed by
epidemic models governed by reaction–diffusion systems can serve as a potential trend …