Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
contribution of the i-th node, i.e. that node’s eigencentrality. But of course unlike PCA, we only care about the single leading eigenvector. Transition Matrix / PageRank How about if the edges represented the probability of going from one state (node) to another? This is what the transition matrix