Numerous well-known processes of complex systems such as spreading and cascading are
mainly affected by a small number of critical nodes. Identifying influential nodes that lead to
broad spreading in complex networks is of great theoretical and practical importance. Since
the identification of vital nodes is closely related to propagation dynamics, a novel method
DynamicRank that employs the probability model to measure the ranking scores of nodes is
suggested. The influence of a node can be denoted by the sum of probability scores of its i …