Comparative Analysis of Text Data Streams in Social Networks

Abstract

This article presents a research in the area of processing and analysis of text data streams in social networks. This work was conducted by means of methods and instruments of Big Data. The article details the process of working with data from social media, which starts with data collection, followed by an analysis, which subsequent ends with conclusions and hypotheses. Based on the examples of statements of the most popular sciences among users of social network Twitter, the distributions of these references taken from all over the world were developed, investigated and compared.