Построение рейтинга университетов в социальных сетях с применением инструментов Big Data

Abstract

The growth of social services gives rise to new tasks for data analysis and processing. These data are unsystematic and heterogeneous. The paper proposes an approach for building analytics university presence in social networks. The solution is based on the modern tools: database Neo4j, Spring Batch framework, the language of Big Data processing - R. As an example, demonstrate the relation of the two university communities in the social network. Construction ranking of universities by the criterion of the centrality of their community nodes.