Clinical network neuroscience, the study of brain network topology in neurological and
psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a …

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 …

There is currently growing interest in modeling the information diffusion on social networks
across multi-disciplines, including the prediction of the news popularity, the detection of the …

In this work we extend the SEIR model as in epidemic disease modeling to investigate the
propagation dynamics of the information online. Here, we go one step further and takes the …

In this paper we study the dynamics of epidemic processes taking place in adaptive
networks of arbitrary topology. We focus our study on the adaptive susceptible-infected …

The influence of people's individual responses to the spread of contagious phenomena, like
the COVID-19 pandemic, is still not well understood. We investigate the Markovian …

Disconnecting impaired or suspicious nodes and rewiring to those reliable, adaptive
networks have the potential to inhibit cascading failures, such as DDoS attack and computer …

In the classical susceptible-infected-susceptible (SIS) model, a disease or infection spreads
over a given, mostly fixed graph. However, in many real complex networks, the topology of …

The interplay between disease spreading and personal risk perception is of key importance
for modelling the spread of infectious diseases. We propose a planar system of ordinary …

In this paper, we study a variant of the voter model on adaptive networks in which nodes can
flip their spin, create new connections, or break existing connections. We first perform an …