In modern conditions, social networking services
have become one of the most popular mass media. Due to a large number of
additional functions, besides providing social communication, services are used
to influence social and political processes. As a result of the spread of
content of destructive matter from anywhere in the world by intruders, threats
to the state's information security are being delivered. Currently there are no
valid and effective methods to opposing the information impact on virtual
community actors in social networking services. Therefore, the scientific and
applied task of improving and further developing models of destructive
informational influence in social networking services, which is going to allow
to oppose threats to the state's information security timely, is especially
urgent. In the article the model of destructive informational influence in
social networking services is offered on the basis of the system dynamics
method by J. Forrester. The conceptual basis of the system-dynamic model, which
includes content, traffic content, and dynamics’ index number of content in
time, is formulated. The approaches to constructing loops of linear and
nonlinear feedback of actors’ interaction in the virtual communities of social
networking services are presented. Nonlinear analytical models of system
dynamics of informational influence in social Internet services as partial
cases of second-order nonlinear differential equations are developed. The
approaches to conducting a controlled transition of the information space of
social networking services through parametric control using a system-dynamic
model of destructive informational influence are offered. The considered models
can be used for constructing complex models of system dynamics of social
communication in virtual communities in the conditions of conducting
information confrontation in order to ensure state’s information security in
social networking services.
social networking services state’s information security informational influence content actor
In modern conditions, social networking services have become one of the most popular mass media. Due to a large number of additional functions, besides providing social communication, services are used to influence social and political processes. As a result of the spread of content of destructive matter from anywhere in the world by intruders, threats to the state's information security are being delivered. Currently there are no valid and effective methods to opposing the information impact on virtual community actors in social networking services. Therefore, the scientific and applied task of improving and further developing models of destructive informational influence in social networking services, which is going to allow to oppose threats to the state's information security timely, is especially urgent. In the article the model of destructive informational influence in social networking services is offered on the basis of the system dynamics method by J. Forrester. The conceptual basis of the system-dynamic model, which includes content, traffic content, and dynamics’ index number of content in time, is formulated. The approaches to constructing loops of linear and nonlinear feedback of actors’ interaction in the virtual communities of social networking services are presented. Nonlinear analytical models of system dynamics of informational influence in social Internet services as partial cases of second-order nonlinear differential equations are developed. The approaches to conducting a controlled transition of the information space of social networking services through parametric control using a system-dynamic model of destructive informational influence are offered. The considered models can be used for constructing complex models of system dynamics of social communication in virtual communities in the conditions of conducting information confrontation in order to ensure state’s information security in social networking services.
social networking services state’s information security informational influence content actors
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | August 31, 2019 |
Submission Date | April 15, 2019 |
Published in Issue | Year 2019 Volume: 3 Issue: 2 |
International Journal of 3D Printing Technologies and Digital Industry is lisenced under Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı