Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
power score” at a given moment in the iterative process. The higher this score, the more central it is deemed. Each current iteration can be thought of as multiplying the adjacency matrix to the previous score vector: Message passing is just an adj. matrix (A) times a vector; in this case a score