nw:eigenvector-centrality

nw:eigenvector-centrality

The Eigenvector centrality of a node can be thought of as the amount of influence a node has on a network. In practice, turtles that are connected to a lot of other turtles that are themselves well-connected (and so on) get a higher Eigenvector centrality score.

In this implementation, the eigenvector centrality is normalized such that the highest eigenvector centrality a node can have is 1. This implementation is designed to agree with Gephi’s implementation out to at least 3 decimal places. If you discover that it disagrees with Gephi on a particular network, please report it.

The primitive respects link direction, even in mixed-directed networks. This is the one place where it should disagree with Gephi; Gephi refuses to treat directed links as directed in mixed-networks.

As of now, link weights are not taken into account.