Modeling of information impacts on elements of onboard system

Minaev, Vladimir; Vaiz, E.; Kuptsov, M. I.; Yablochnikov, S. L.; Vidov, Stanislav

doi:10.1109/sosg.2018.8350621

Cited by 11 publications

(8 citation statements)

References 1 publication

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“…As well as models that indicate the dynamics of the size of a objects group influence (the presence of the symbol "O" in the abbreviation), and overlooking objects after some time, behaviour forced to them and turning them to the primary set of prone II (the symbol "S" in the abbreviation). Explanation of the above picture has given in the publication [5].…”

Section: We Are Modelling Of Information Influence and Reaction; mentioning

confidence: 97%

“…The researchers proposed and tested several types of models of messages impacts on various social groups that allowed investigating the manners of the so-called messages "infection", depending on the influence level of several external and internal determinants: topological, regressive, probabilistic and others [1][2][3][4][5]. Some researchers, in their contribution, argue that the most effective, from practical utilisation, are simulation techniques of modelling knowledge influence on societies of intelligence carriers (both hybrid and natural).…”

Section: Degree Of Problem Developmentmentioning

confidence: 99%

“…Some researchers, in their contribution, argue that the most effective, from practical utilisation, are simulation techniques of modelling knowledge influence on societies of intelligence carriers (both hybrid and natural). It ensures adequate forecasting and assessment of the possibility of implementing various scenarios for the development of events, and, consequently, management in the field of the economy [5][6][7].…”

Section: Degree Of Problem Developmentmentioning

confidence: 99%

“…Levels have managed objects showed by variables whose values resemble the integral feature of the movement of the actual progress under attention; rate is the speed of actual progress originating from certain degree and entering into others, which determine the reciprocal changes in them; judgment roles are operational dependencies breathing in the system, as well as constants and auxiliary values. Phase variables (system levels) have shown by applying systems of differential equations [5].…”

Section: We Are Modelling Of Information Influence and Reaction; mentioning

confidence: 99%

See 3 more Smart Citations

Modelling of Informational Counteraction Between Objects In Economy

Yablochnikov¹,

Kuptsov²,

Omelchenko³

et al. 2019

IJEAT

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The article explores several aspects of the possible existence of informational actions and counteractions in the field of economy. The analysis of similar processes has been made utilizing structure-functional and structure-dynamic modelling. The basic models that allow revealing the essence of the phenomena under analysis are the systems of differential equations that are congruent with the constructions, which have used in the traditional dynamic system. The combination of contextual and subsidiary DFD-diagrams, developed following the technology SADT, allows understanding the functional logic of performed actions. The experimental part of the research had based on the use of imitation platform Analogic and the real statistic data that testified to the dynamic marketing behaviour of a range of business entities. These entities promoted their products in the market using information-communication technologies. The scholars of the study integrated structurefunctional and structure-dynamic patterns of informational actions and counteractions in the field of the economy that have successfully tested. The results of modelling possess a high level of compatibility with the empirical data. It provides adequate prediction and assessment of the possibility of implementing various scenarios of events, and, consequently, in economy management.

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Section: We Are Modelling Of Information Influence and Reaction; mentioning

confidence: 97%

Section: Degree Of Problem Developmentmentioning

confidence: 99%

Section: Degree Of Problem Developmentmentioning

confidence: 99%

Section: We Are Modelling Of Information Influence and Reaction; mentioning

confidence: 99%

See 2 more Smart Citations

Modelling of Informational Counteraction Between Objects In Economy

Yablochnikov¹,

Kuptsov²,

Omelchenko³

et al. 2019

IJEAT

View full text Add to dashboard Cite

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“…Also quite common are methods for analyzing social networks based on the application of mathematical models congruent with epidemic propagation models [10,[41][42][43][44][45]. In these models, based on systems of differential equations, modeling is carried out using such concepts as "information infection", "information immunity", "information impact", "information counteraction", etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of Information Processes in Social Networks

2021

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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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