brainconn.centrality.eigenvector_centrality_und

eigenvector_centrality_und(CIJ)

Eigenector centrality is a self-referential measure of centrality: nodes have high eigenvector centrality if they connect to other nodes that have high eigenvector centrality. The eigenvector centrality of node i is equivalent to the ith element in the eigenvector corresponding to the largest eigenvalue of the adjacency matrix.

Parameters:

• CIJ (NxN numpy.ndarray) – binary/weighted undirected adjacency matrix
• v (Nx1 numpy.ndarray) – eigenvector associated with the largest eigenvalue of the matrix