Abstract: Mining the relatively important nodes in network science has important practical application. Designing indicators and methods to measure the relative importance of nodes is the key to accurately and effectively identify the relative important nodes. This paper presents a systematic review on the indicators and methods proposed in the field of network science for measuring the relatively importance of nodes, analyzes and compares the accuracy of these indicators and methods by numerical simulation, and discusses some open issues and research trends on mining relatively important nodes.