Twitter as a Nonlinear Dynamical System

This work is devoted to the study of the influence on the system of Twitter, which can be used as an instrument in political struggle. Over the past decade, social networks have evolved from the means of communication to huge media that have a significant impact on the population as a whole. In particular, political strategists are interested in this phenomenon as one of the tools in the race for the votes. It's not accidental, because on Twitter people share their opinions and form their views on the basis of information that they use from different sources. This can be used by creating points of influence with information that will influence the commitment of certain social groups to a particular political leader. Proof of the ability to pinpoint factors and force that affects a given value with a certain probability is a necessary basis for the practical implementation of such information impact by political strategists, marketers, researchers and others. Modeling the processes occurring in social networks is a complex, but at the same time, theoretically and practically important scientific problem. The results and conclusions that can be drawn using social network models allow to determine whether a social network can remain stable with internal and external information impact, identify different ways of forming communities and find out practical ways of managing a social network.