The study proposes a method for systematization of scientific publications on the example of those on the development of fiber-optic sensors applied in geographically distributed security systems. This approach allows carrying out an intelligent data analysis obtained from a public information resource - the Russian scientific electronic library eLIBRARY.RU - to visualize and cluster scientific teams as undirected graphs engaged in the specified subject. The Gephi software environment was used for analysis and visualization. Such an approach to data processing can serve as a significant support for students, postgraduates and researchers to identify scientific schools, teams and individuals who have a significant scientific background in solving the considered scientific problems and issues. The obtained undirected graphs are given in the article, as well as the characteristics of certain undirected graphs at different kernel parameters.