Identifying the influential spreaders in complex network is a very important topic, which is
conducive to deeply understanding the role of nodes in the information diffusion and …

Considering that the exposed nodes may become the removed nodes at a rate, we present
a novel rumor propagation SEIR model on heterogeneous network. We give formula of the …

In this paper, the prescribed-time synchronization (PTs) issue in networks of nonlinear
piecewise-smooth (PWS) systems with impulse effects is discussed. Firstly, a time-varying …

Studying the structure and evolution characteristics of social networks is of great significance
in assessing and controlling the outbreak of infectious diseases. Therefore, it is necessary to …

In this paper, we propose a coupled multiplex network framework to model the epidemic
spreading and its corresponding information diffusion among a population. In the model, as …

A complex project, which has been recognized as a complex system with intricate
interactions among organizations, is inevitably plagued with diverse risks and has fuzzy risk …

Rumor propagation on complex networks is rapidly affecting people's life. As we all know,
the regulatory control of rumors by regulators has a specific impact on the spread of rumors …

We explore the impact of awareness on epidemic spreading through a population
represented by a scale-free network. Using a network mean-field approach, a mathematical …

In this paper, we study the spreading of infections in complex heterogeneous networks
based on an SIRS epidemic model with birth and death rates. We find that the dynamics of …

We show that precise knowledge of epidemic transmission parameters is not required to
build an informative model of the spread of disease. We propose a detailed model of the …