Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

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

During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …

In this letter, a discrete SIS (susceptible–infected–susceptible) epidemic model on complex
networks is presented. Firstly, the non-negativity and the boundedness of solutions are …

Epidemic spreading processes in the real world depend on human behaviors and,
consequently, are typically non-Markovian in that the key events underlying the spreading …

I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few
methods and ideas, including several of personal interest, that I anticipate to be especially …

The sheer volume of IoT networks being deployed today presents a major “attack surface”
and poses significant security risks at a scale never encountered before. In other words, a …

We consider an epidemic process on adaptive activity-driven temporal networks, with
adaptive behavior modeled as a change in activity and attractiveness due to infection. By …

Human contact behaviors involve both dormant and active processes. The dormant (active)
process goes from the disappearance (creation) to the creation (disappearance) of an edge …