Network similarity
Measures the similarity between two or more networks.
This algorithm measures the similarity between different networks. This comparison is conceived not only in terms of similarity of the nodes, but also from a functional point of view, watching their structures and the flow of information by a semantic perspective, using the same approach followed by the Ranked Influence Typology algorithm.
Given some distributions of influences measured using Ranked Influence Typology algorithm, and the number of connections, it provides two different misures of similarity: a quantitative one, along with another more qualitative.
Finding how similar are personal profiles of users, similarities between maps of interactions or how strong are the similitudes in patterns of data, are only examples.