This paper studies the dynamics of a network-based SIS epidemic model with nonmonotone incidence rate. This type of nonlinear incidence can be used to describe the psychological effect of certain diseases spread in a contact network at high infective levels. We first find a threshold value for...

The invulnerability or robustness of complex networks against cascading failures under critical node failures is of great realistic meaning. Inspired by other related works, we propose a renewed cascading failure model which should be more suitable for real networks. In this model, the initial...

Detection of community is a crucial step to understand the structure and dynamics of complex networks. Most of conventional community detection methods focus on optimizing a certain objective function or on clustering nodes based on their similarities, which leads to a phenomenon that they have...