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

Mathematical and computational approaches are important tools for understanding
epidemic spread patterns and evaluating policies of disease control. In recent years …

The design of an effective ranking method to identify influential nodes is an important
problem in the study of complex networks. In this paper, a new centrality measure is …

How to identify influential nodes in complex networks is still an open hot issue. In the
existing evidential centrality (EVC), node degree distribution in complex networks is not …

Nowadays, vaccination is the most effective way to control the epidemic spreading. In this
paper, an epidemic SEIRV (susceptible-exposed-infected-removed-vaccinated) model and …

In this paper, by taking full consideration of demographics, transfer from infectious to
susceptible and contact heterogeneity of the individuals, we construct an improved …

Weight distribution greatly impacts the epidemic spreading taking place on top of networks.
This paper presents a study of a susceptible-infected-susceptible model on regular random …

Public health services are constantly searching for ways to reduce the spread of infectious
diseases, such as public vaccination of asymptomatic individuals, quarantine and treatment …

This paper investigates a new SIQRS epidemic model with demographics and vaccination
on complex heterogeneous networks. We analytically derive the basic reproduction number …

Trap** processes constitute a primary problem of random walks, which characterize
various other dynamical processes taking place on networks. Most previous works focused …