The article explores a new way to identify important nodes in changing networks. They introduce a centrality measure called efficiency centrality and test it using a simulation of infection spreading in real networks. By deleting and adding nodes based on their importance, they found that efficiency centrality can help predict how information or infections spread in these networks.