Online system for the construction of structural models of information flows

The paper describes architecture of the online system intended for construction of the structural models of information flows by the probabilistic methods. The system is based on the mixture models of probability distributions and their implementations as the online service. An online computing allows to analyze big data by various researchers from all over the world. Such approach can be benefit for researchers because they do not have to search and install for a special software. Different researchers can get consistent results and share them easily.