"Measures the importance of a node in a graph based \n on the the importance of its neighbors. For instance, in a Social Network, the nature of \n an Influencer depends on how many people they influence \u2014 where influence depends on the \n total size of their audience rather than individual connection count, i.e., rather than \n catering to a Star-Network with many unconnected low-audience followers, you end up with \n an Influence-Network comprising a few nodes that each connect to a large-audience follower. \n "@en . . . . . . . . . "Eigencentrality" . . . . . "EVC" . "Eigen Vector Centrality" .