The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …

It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

In this paper, a SEIR epidemic model for the COVID-19 is built according to some general
control strategies, such as hospital, quarantine and external input. Based on the data of …

The impact of the COVID-19 pandemic on excess mortality from all causes in 2020 varied
across and within European countries. Using data for 2015–2019, we applied Bayesian …

Case isolation and contact tracing can contribute to the control of COVID-19 outbreaks,.
However, it remains unclear how real-world social networks could influence the …

The purpose of this work is to give a contribution to the understanding of the COVID-19
contagion in Italy. To this end, we developed a modified Susceptible-Infected-Recovered …

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 …

Social and cultural forces shape almost every aspect of infectious disease transmission in
human populations, as well as our ability to measure, understand, and respond to …

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 …