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

The spread of disease on complex networks has attracted wide attention in the physics
community. Recent works have demonstrated that heterogeneous degree and weight …

The spread of disease on complex networks has attracted wide attention in physics,
mathematics, and epidemiology. Recent works have demonstrated that individuals always …

Resources are limited in epidemic containment; how to optimally allocate the limited
resources in suppressing the epidemic spreading has been a challenging problem. To find …

We investigate the standard susceptible-infected-susceptible model on a random network to
study the effects of preference and geography on diseases spreading. The network grows by …

In this Letter, we propose a modified susceptible-infected-recovered (SIR) model, in which
each node is assigned with an identical capability of active contacts, A, at each time step. In …

Since roughly a decade ago, network science has focused among others on the problem of
how the spreading of diseases depends on structural patterns. Here, we contribute to further …

It has been a challenge to formulate network-based control measures on infectious
diseases, especially on emerging diseases, due to the complexity of the network topology …

In this paper, an extended heterogeneous SIR model is proposed, which generalizes the
heterogeneous mean-field theory. Different from the traditional heterogeneous mean-field …

During an epidemic outbreak in a human population, susceptibility to infection can be
reduced by raising awareness of the disease. In this paper, we investigate the effects of …