UDC 004.77, 519.25
FACTORS DETERMINING PROPAGATION OF INFORMATION IN SOCIAL NETWORKS
M. I. Kuptsov, Ph.D (in physics and mathematics), associate professor, RSREU, Ryazan, Russia;
orcid.org/0000-0002-6814-6423, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. A. Minaev, Dr. in technical sciences, full professor, Moscow University of the Ministry of Internal
Affairs of Russia named after V. Ya. Kikotya, Moscow, Russia, RSREU, Ryazan, Russia;
orcid.org/ 0000-0002-5342-0864, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The problem of studying the statistical characteristics of information propagation in marketing, blogging and political communities in various social networks is considered. The aim of the work is to identify and study the factors that affect social behavior of network users. The manifestation of behavior can be, for example, the change in people involvement into online commerce or socio-political events including those of destructive nature. The empirical laws for the distribution of communities various indicators in networks are studied. The relationships between the indicators are analyzed. Based on cluster analysis, a classification of social network communities is proposed, and characteristic features of clusters are noted. Regression models for predicting changes in the number of users in communities are justified.
Key words: social network, Internet community, propagation of information, modeling, statistical regularity.