In the context of directed or undirected graphs, matrices such as adjacency and Laplacian matrices are commonly used. The eigenbasis of these matrices addresses some practical implications, such as centrality measures (like PageRank), and it is also crucial for clustering (community detection).

Q. What other practical implications have been identified in the literature by analyzing the eigenbasis?