Estimating users' areas of research by publications and profiles on social networks

We focus on estimating a research area of a researcher/user by finding a unique identity in digital libraries and social networks and by analyse of public metadata of their publications and published information on social networks profiles. The lack of content of the metadata in some of the publications is solved by the information retrieval using techniques of NLP. We estimate the author’s domain by extracting keywords from abstracts as well as by information published on social profiles. The result of this work is a design, an original algorithm and experimental verification of the algorithm.