Defining the importance of nodes in static networks is a question that has been studied extensively for a long time. Recently, adaptations have been defined for dynamic networks. These methods follow different approaches for evaluating a node's importance. It is then necessary to be able to evaluate and compare these methods. In this paper, we compare different approaches to better understand the differences. We consider datasets of different nature, we show that these difference influence each method as well as in certain cases the global importance might be meaningless