Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
eigendecomposition? This is a bit harder to intuit, but essentially the Laplacian helps uncover the local structure of the graph. It is defined as the degree matrix minus the adjacency matrix: The degree matrix (D) is just the degrees of the nodes on the diagonal; then subtract the adjacency matrix