Most of the existing studies on linguistic networks, however, focus only on the local structural properties such as the degree and clustering coefficient of the nodes, and shortest paths between pairs of nodes.
although it is a well known fact that the spectrum of a network can provide important information about its global structure, the use of this powerful mathematical machinery to infer global patterns in linguistic networks is rarely found in the literature.