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  • Опыт моделирования действий по предотвращению распространения запрещенной информации в социальной сети

Article

Опыт моделирования действий по предотвращению распространения запрещенной информации в социальной сети

Прикладная информатика. 2019. Т. 14. № №1(79). С. 82-95.
Дмитриев И. П., Замятина Е. Б.

This article is devoted to a preventing of harmful information spreading in social networks. Currently,
social networks are widespread. Their popularity is growing every day. For this reason, they can be
used not only by managers and marketers for the dissemination of advertising, product promotion,
but also attackers for the dissemination of prohibited information. So it is necessary to predict harmful
information propagation and intervention. One of the ways to solve this problem is to model social
networks. This paper examines the main approaches to social network modeling as well as the
domain of their application and practical results. Two approaches: static and dynamic are considered.
Static approach suppose an analyses of the structural characteristics of the online networks. Dynamic
approach considers changes in networks and characteristics depending on time. Dynamic approach
(agent based simulation) may examine the diffusion of information in online social networks more
adequately and more precisely. Authors discuss several problems dealing with social networks and
several examples of these problems decision. In addition, the simulation toolkit Triad.Net is considered.
Simulation toolkit allows to analyze the structural characteristics of social network and to carry
out simulation experiment and fulfill an analyses of the dynamic characteristics of online social networks.
And in conclusion authors describes a problem of a preventing of harmful information diffusion
and discuss how to solve this problem using simulation toolkit Triad.Net.