In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of 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 …

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 …

The paper provides a comprehensive overview of modeling and pricing cyber insurance and
includes clear and easily understandable explanations of the underlying mathematical …

We present a contact-based model to study the spreading of epidemics by means of
extending the dynamic message-passing approach to temporal networks. The shift in …

The susceptible-infected (SI) model is the most basic of all compartmental models used to
describe the spreading of information through a population. Despite its apparent simplicity …

Efficient allocation of limited medical resources is crucial for controlling epidemic spreading
on networks. Based on the susceptible-infected-susceptible model, we solve the …

Moment-closure techniques are commonly used to generate low-dimensional deterministic
models to approximate the average dynamics of stochastic systems on networks. The quality …

Network-based infectious disease models have been highly effective in elucidating the role
of contact structure in the spread of infection. As such, pair-and neighbourhood-based …

We derive novel analytic tools for the Bass and SI models on networks for the spreading of
innovations and epidemics on networks. We prove that the correlation between the …