complex networks

The management of epidemics received much interest in recent times, due to devastating outbreaks of epidemic diseases such as Ebola and COVID-19. This paper investigates the effect of the structure of the contact network on the dynamics of the epidemic outbreak. In particular we focus on the peak number of critically infected nodes, because this determines the workload of intensive health-care units and should be kept low when managing an epidemic.

There was given review of empirical and theoretical research results of complex networks. There are the main characteristics by which we study the topology and evolution of networks in time, which are the result of human activity. Focus on the dynamic properties of the Internet and on analysis of behaviour in time of its basic characteristics. There was investigated the topology of local computer network BW-Star & Fox Net in Chernivtsy.