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

Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

We use aggregated data from Facebook to show that COVID-19 is more likely to spread
between regions with stronger social network connections. Areas with more social ties to two …

Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …

Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

The allure of the metaverse along with Virtual Reality (VR) technologies and speed at which
they are deployed may shift focus away from security and privacy fundamentals. In this work …

There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

BACKGROUND Despite many notable successes in prevention and control, infectious
diseases remain an enormous threat to human and animal health. The ecological and …