While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

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 …

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 …

We propose a novel epidemic model based on two-layered multiplex networks to explore
the influence of positive and negative preventive information on epidemic propagation. In …

We investigate adaptive strategies to robustly and optimally control the COVID-19 pandemic
via social distancing measures based on the example of Germany. Our goal is to minimize …

Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

This paper presents an overview on the recent advances in the research of security of cyber–
physical systems. We place particular emphases on consensus problems for multi-agent …

We review research studies which use game theory to model the decision-making of
individuals during an epidemic, attempting to classify the literature and identify the emerging …

We present and discuss a variety of mathematical models that have been proposed to
capture the dynamic behavior of epidemic processes. We first present traditional group …

A challenging issue in viral marketing is to effectively identify a set of influential users. By
sending the advertising messages to this set, one can reach out the largest area of the …