Agent Design for Implementing Text Mining Algorithms to Model Social Networks

This graduate qualification work presents materials related to the automation of building models of a real social network in simulation modeling systems. The work was focused on the problems of intelligent agent design for Implementing Text Mining Algorithms. In the course of the work were stadied detail such concepts as agent, multi-agent system, text mining and its text analysis, and social media intellectual analysis. The work of the agent is considered on the example of identifying fake news in social networks. As a result of the work was designed the architecture of the system of intelligent agents that implement Text Mining algorithms to build a model of a real social network with the aim of using it in a simulation system. An original algorithm to identify fake news, and there was performed testing of the agent algorithm using RStudio software.