Network analysis is a powerful tool that provides us a fruitful framework to describe
phenomena related to social, technological, and many other real-world complex systems. In …

A paramount research challenge in network and complex systems science is to understand
the dissemination of diseases, information and behaviour. The COVID-19 pandemic and the …

During pandemic events, strategies such as social distancing can be fundamental to reduce
simultaneous infections and mitigate the disease spreading, which is very relevant to the risk …

Discrete-and continuous-time approaches are frequently used to model the role of
heterogeneity on dynamical interacting agents on the top of complex networks. While, on the …

Simple models of infectious diseases tend to assume random mixing of individuals, but real
interactions are not random pairwise encounters: they occur within various types of …

The spatiotemporal propagation patterns of recent infectious diseases, originated as
localized epidemic outbreaks and eventually becoming global pandemics, are highly …

The research of collective dynamics and cooperation mechanisms among coupled particles
in various topological structures is highly significant across many fields. This study proposes …

We study a general epidemic model with arbitrary recovery rate distributions. This simple
deviation from the standard setup is sufficient to prove that heterogeneity in the dynamical …

Recently, researchers have used the pairwise networks (lower-order) or hypergraphs
(higher-order) to separately model different real systems. However, some real systems may …

Dynamical systems running on the top of complex networks have been extensively
investigated for decades. But this topic still remains among the most relevant issues in …