Rescaled range analysis for the social networks
A. Zh. Akhmetova, L. L. La, Федор Александрович Мурзин · 2019
This article is devoted to the problems of the analysis of computer social networks. The article describes an algorithm for a relatively new statistical method - rescaled range analysis, described by Harold Hearst. This time series analysis method allows you to determine if a time series is random or persistent, that is, it has a long-term memory. Describes data that can be used as temporary data. A program with data extraction and analysis modules was developed for the experiments. The rescaled range analysis algorithm is applied to the time data obtained from computer social networks and the conclusion is made about their persistent nature.