Ranking the social media platform user pages using Big Data
The platforms of the social media of the Internet, depending on their content have been analyzed in the paper. The classification that allows selecting groups by specific one's signs has been made. To rank the pages of users of virtual communities, it is suggested to use a modified PageRank algorithm. An approach based on the use of lexical analysis and algorithm for ranking and organizing data using the MapReduce paradigm is developed.