Modeling of Information Processes in Social Networks

被引：0
|
作者：
Yablochnikov, Sergey [1 ]
Kuptsov, Mikhail [2 ]
Mahiboroda, Maksim [3 ]
机构：
[1] Moscow Tech Univ Commun & Informat, Dept Ecol Life Safety & Power Supply, Moscow 123423, Russia
[2] Ryazan State Radio Engn Univ, Dept Higher Math, Ryazan 390005, Russia
[3] Fed Penal Serv Russia, Acad Law & Management, Ryazan 390000, Russia
来源：
INFORMATION | 2021年 / 12卷 / 03期
关键词：
social network; information dissemination; modeling; statistical regularities; WEB;
D O I：
10.3390/info12030116
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to model information dissemination in social networks, a special methodology of sampling statistical data formation has been implemented. The probability distribution laws of various characteristics of personal and group accounts in four social networks are investigated. Stochastic aspects of interrelations between these indicators were analyzed. The classification of groups of social network users is proposed, and their characteristic features and main empirical regularities of mutual transitions are marked. Regression models of forecasting changes in the number of users of the selected groups have been obtained.
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页数：19
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