Managing big data by directed graph node similarity

This paper shows a novel algorithm based on the theory of fuzzy sets for discovering similar nodes in very large directed graphs (millions of nodes with billions of connections), if provided with a sample of representative nodes that are highly affiliated with some feature. This approach is practically verified on Twitter social network case study to discover influential Twitter users in the field of science.