Statistical Analysis of the Activity of the Thematic Content on the Internet for Predicting the Development of Information Threats

• Main Authors: Oleksii Pysarchuk, Oleksandr Lahodnyi, Yurii Mikhieiev
• Format: Article
• Language: English
• Published: Altezoro s.r.o. (Slovak Republic) and Publishing Center "Dialog" (Ukraine) 2017-08-01
• Series: Traektoriâ Nauki
• Subjects: content; internet; statistical analysis; prognostication; distribution law
• Online Access: http://pathofscience.org/index.php/ps/article/view/376/414

The article presents the results of the statistical analysis of the thematic content of the Internet in the segment of real experimental data of information messages. The analysis proved the possibility of considering the frequency of appearance of thematic content as a monotone meander process with an additive random component. The results of the analysis provided the definition of the type of dependence of the frequency of thematic content occurrence from time, the law of the distribution and of the random component, and obtain its statistical characteristics. The obtained results should be used at the stage of forecasting the development of information threats. The results of the statistical analysis showed that the thematic content frequency on the Internet is nonlinear, is a random stationary process with a clearly pronounced rising or declining meander trend.