Research in graph signal processing (GSP) aims to develop tools for processing data
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …

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 …

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

It is increasingly recognized that a key component of successful infection control efforts is
understanding the complex, two-way interaction between disease dynamics and human …

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 …

With the rapid development of science and technology, the world is becoming increasingly
connected. The following dire need for understanding both the relationships amongst …

This book discusses the study and analysis of the physical aspects of social systems and
models, inspired by the analogy with familiar models of physical systems and possible …

Empirical data on contacts between individuals in social contexts play an important role in
providing information for models describing human behavior and how epidemics spread in …

Recent work has shown that different theoretical approaches to the dynamics of the
susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different …

Using the susceptible-infected-susceptible model on unweighted and weighted networks,
we consider the disease localization phenomenon. In contrast to the well-recognized point …