Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://cyberleninka....arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Моделирование социальных и политических процессов в условиях информационных войн. Социально-энергетический подход

Моделирование социальных и политических процессов в условиях информационных войн. Социально-энергетический подход

Abstract

В данной работе предлагается математическая модель общества с точки зрения авторского социально-энергетического подхода, а также разъясняются его основные принципы. В качестве основного уравнения используется выражение для потока социальной энергии через систему, далее модель строится на основе нелинейной динамической системы с применением идей фрактальной геометрии для расчёта отдельных элементов структур, а так же уравнения Ланжевена для учёта флуктуаций в социальных и политических процессах. С помощью данного уравнения создаётся модель коммуникационного поля, описывающая взаимодействия индивидов в обществе. Далее анализируются результаты компьютерного моделирования воздействия одной социальной системы на другую на основе данной модели.

In this article is considers potential of making a consistent simulator from a perspective systematic social-energy approach (SEA). Likewise author explain underlying principles of SEA. In the capacity of basic equation of simulations inside processesis Langeven’s equalization. Author works out a non-linear dynamics system for computation on basis of this law. Using this equation creates a model of the communication field, which describes the interaction of individuals in society. Further analysis of the results of computer modeling of the effects of one social system to another based on the model. This model is proposed be used to predicta number of social and political processes in the Information Wars.

Keywords

МОДЕЛИРОВАНИЕ, СОЦИАЛЬНО-ЭНЕРГЕТИЧЕСКИЙ ПОДХОД, СЛОЖНЫЕ СОЦИАЛЬНЫЕ СИСТЕМЫ, НЕЛИНЕЙНЫЕ ДИНАМИЧЕСКИЕ СИСТЕМЫ, ВИНЕРОВСКИЕ ПРОЦЕССЫ, ИНФОРМАЦИОННЫЕ ВОЙНЫ, VINER’S PROCESSES

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average