In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …

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

Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …

This article reviews and presents various solved and open problems in the development,
analysis, and control of epidemic models. The proper modeling and analysis of spreading …

In academia, as well in the industry, there is currently an increasing interest in the concept of
smart tourism destinations. Specifically, there is widespread recognition of the role that ICTs …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

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 …

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

We present the analysis of the interrelation between two processes accounting for the
spreading of an epidemic, and the information awareness to prevent its infection, on top of …

Research on social networks has exploded over the last decade. To a large extent, this has
been fueled by the spectacular growth of social media and online social networking sites …