Eigenvector centrality is one metric for trying to define a node’s degree of centrality and significance within a network. This is done by assigning relative scores to all nodes in the network based on the concept that connections to highly connected nodes contribute more than connections to nodes with a low degree of connectivity. For example, a website connected to by another very highly connected website would have a high eigenvector centrality.